Job description A Rasayu group is a unique group in the field of Ayurveda working in multiple verticals within its ambit. Eligibility: Enrolment in a relevant undergraduate or graduate program in Computer Science Data Science Artificial Intelligence or a closely related field. Knowledge of programming languages such as Python R or Java. Familiarity with AI tools and frameworks like TensorFlow Keras PyTorch or similar. Skills & Qualifications: Strong problem-solving and analytical abilities. Understanding of machine learning algorithms neural networks and data processing techniques. Ability to work collaboratively in a team environment. Good communication skills and the ability to present complex ideas clearly. Job Type: Full-time Pay: ₹15000.00 - ₹20000.00 per month Benefits: Health insurance Provident Fund Work Location: Remote

Requisition 39151: Data Scientist A resume helps you stand out to hiring managers and recruiters your resume communicates your experience and your brand. While it is not required we encourage you to include an up-to-date resume along with a completed job application to give you the best opportunity to be considered. A complete resume helps us to better understand your unique background relevant experiences and passions. We look forward to learning about you. Norfolk Southern offers a unique opportunity to be part of our proud legacy that spans nearly 200 years. We are a customer-centric operations-driven team dedicated to advancing safety serving communities and driving innovation for tomorrow's rail. As part of Norfolk Southern you’ll join a collaborative team where there are opportunities for growth across the organization. We are building a culture where everyone can thrive by owning and driving exceptional results being humble and leading with trust serving our customers with excellence and collaborating and coaching to win. Job Description Who we are and what we do: The Artificial Intelligence and Data Science team is centralized across the entire organization. This team works with various product teams across various business units to define high-impact business problems solve them using novel techniques and execute and monitor them throughout their lifecycle. Most of our models make it to production they never sit in a research lab. As a team we do quite a bit of research to stay up-to-date with the latest technologies and algorithms. This team is high performance collaborative and idea generating. What Kind Of Problems Do We Solve Norfolk Southern’s problem set is unique and our high-frame cameras beside our tracks captures images of trains and rail cars as they pass. We design various Deep Learning and Computer Vision algorithms to detect certain objects of interest or issues and defects. We optimize performance and deploy at the edge for real-time scoring and notify our mechanical personnel upon detections. Our locomotives stream 350+ sensor information in real-time. We create predictive models to predict various component failures hours days and sometimes months in advance. There are high-frame cameras beside our tracks capturing images of trains and rail cars as they pass. We design various Deep Learning and Computer Vision algorithms to detect certain objects of interest or issues and defects. We then optimize their performance and deploy them at the edge for real-time scoring and notification of our mechanical personnel upon detections. This position will focus on Statistics and Machine Learning models. (regression classification clustering) What Tools Do We Use Python Spark PySpark Jupyter notebook PyCharm VS Code as IDEs. Tensorflow Keras PyTorch and MXNet for Deep Learning and OpenCV for traditional Computer Vision. Responsibilities Effectively utilize appropriate statistical machine learning and deep learning techniques to solve various business problems. Collaborate with various departments to identify opportunities for process improvement and developing analytics use-cases. Provide guidance support and mentoring to junior team members. Evaluate accuracy and quality of data sources as well as the designed models. Stays up to date with the latest models and changes in the technology. Design and develop (almost) production ready code. Communicate results to colleagues and business partners. Coordinate with application development teams to integrate developed models with existing applications. Education Required Bachelors in computer science electrical engineering machine learning statistics or related field. Skills Required Bachelors in computer science electrical engineering machine learning statistics or related field. 1-3 years of experience as a Data Scientist Research Scientist Machine Learning Engineer or Operations Research. Scripting and programing experience with Python and knowledge of Spark. Skills Preferred Advanced degree e.g. Ph.D. or M.S. in deep learning neural networks machine learning data science computer science electrical engineering engineering statistics engineering industrial systems mathematical sciences applied mathematics or Physics. 3+ years of experience as a Data Scientist Research Scientist Machine Learning Engineer or Operations Research. Hands-on and theoretical knowledge of various machine learning and deep learning algorithm and frameworks such as: xgboost/LightGBM Random Forests SVMs PCA t-sne kmeans DBSCAN. Knowledge of Spark (PySpark) is a plus Knowledge of the cloud computing environment (e.g. Databricks) is a plus Expertise with Time Series problems. Familiarity with the railroad industry is highly preferred. Work Conditions Environment: Hybrid 3 days on-site and remote work 2 days per week. Shift Work: No On-Call: No Weekend Work: No Company Overview Since 1827 Norfolk Southern Corporation (NYSE: NSC) and its predecessor companies have safely moved the goods and materials that drive the U.S. economy. Today it operates a customer-centric and operations-driven freight transportation network. Committed to furthering sustainability Norfolk Southern helps its customers avoid 15 million tons of yearly carbon emissions by shipping via rail. Its dedicated team members deliver more than 7 million carloads annually from agriculture to consumer goods and is the largest rail shipper of auto products and metals in North America. Norfolk Southern also has the most extensive intermodal network in the eastern U.S. serving a majority of the country’s population and manufacturing base with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes. Learn more by visiting www.NorfolkSouthern.com. At Norfolk Southern we believe in celebrating our individuality. By leveraging the unique backgrounds and viewpoints of our employees we can create a culture of innovation respect and inclusion. We know that employees thrive in a workplace where differing viewpoints ideas and experiences are freely shared and valued. As such we encourage all employees to contribute their distinctive skills and capabilities to our organization. Equal employment opportunities are available to all applicants regardless of race color religion age sex national origin disability status genetic information veteran status sexual orientation and gender identity. Together we power progress.

Job Title: Data Scientist Experience: 5+ Years Location: Remote/ Indore/ Mumbai/ Chennai/ Gurugram Industry: Must be from BPO/KPO or Healthcare Org. Or Shared services Key Responsibilities: AI/ML Development & Research Design develop and deploy advanced machine learning and deep learning models to solve complex business problems. Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications. Build agent-based AI systems with autonomous decision-making capabilities. Conduct cutting-edge research on emerging AI technologies and explore their practical applications. Perform model evaluation validation and continuous optimization to ensure high performance. Cloud Infrastructure & Full-Stack Development: Architect and implement scalable cloud-native ML/AI solutions using AWS Azure or GCP. Develop full-stack applications that seamlessly integrate AI models with modern web technologies. Build and maintain robust ML pipelines using cloud services (e.g. SageMaker ML Engine). Implement CI/CD pipelines to streamline ML model deployment and monitoring processes. Design and optimize cloud infrastructure to support high-performance computing workloads. Data Engineering & Database Management Design and implement data pipelines to enable large-scale data processing and real-time analytics. Work with both SQL and NoSQL databases (e.g. PostgreSQL MongoDB Cassandra) to manage structured and unstructured data. Optimize database performance to support machine learning workloads and real-time applications. Implement robust data governance frameworks and ensure data quality assurance practices. Manage and process streaming data to enable real-time decision-making. Leadership & Collaboration Mentor junior data scientists and assist in technical decision-making to drive innovation. Collaborate with cross-functional teams including product engineering and business stakeholders to develop solutions that align with organizational goals. Present findings and insights to both technical and non-technical audiences in a clear and actionable manner. Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI/ML applications. Required Qualifications: Education & Experience Master’s or PhD in Computer Science Data Science Statistics Mathematics or a related field. 5+ years of hands-on experience in data science and machine learning with a focus on real-world applications. 3+ years of experience working with deep learning frameworks and neural networks. 2+ years of experience with cloud platforms and full-stack development. Technical Skills - Core AI/ML Machine Learning: Proficient in Scikit-learn XGBoost LightGBM and advanced ML algorithms. Deep Learning: Expertise in TensorFlow PyTorch Keras CNNs RNNs LSTMs and Transformers. Large Language Models: Experience with GPT BERT T5 fine-tuning and prompt engineering. Generative AI: Hands-on experience with Stable Diffusion DALL-E text-to-image and text generation models. Agentic AI: Knowledge of multi-agent systems reinforcement learning and autonomous agents. Technical Skills - Development & Infrastructure Programming: Expertise in Python with proficiency in R Java/Scala JavaScript/TypeScript. Cloud Platforms: Proficient with AWS (SageMaker EC2 S3 Lambda) Azure ML or Google Cloud AI. Databases: Proficiency with SQL (PostgreSQL MySQL) and NoSQL (MongoDB Cassandra DynamoDB). Full-Stack Development: Experience with React/Vue.js Node.js FastAPI Flask Docker Kubernetes. MLOps: Experience with MLflow Kubeflow model versioning and A/B testing frameworks. Big Data: Expertise in Spark Hadoop Kafka and streaming data processing. Non Negotiables: Cloud Infrastructure - ML/AI solutions on AWS Azure or GCP Build and maintain ML pipelines using cloud services (SageMaker ML Engine etc.) Implement CI/CD pipelines for ML model deployment and monitoring Work with both SQL and NoSQL databases (PostgreSQL MongoDB Cassandra etc.) Machine Learning: Scikit-learn Deep Learning: TensorFlow Programming: Python (expert) R Java/Scala JavaScript/TypeScript Cloud Platforms: AWS (SageMaker EC2 S3 Lambda) vector databases and embeddings (Pinecone Weaviate Chroma) Knowledge of LangChain LlamaIndex or similar LLM frameworks. If interested please share your resume to sunidhi.manhas@portraypeople.com

Job Description: Full Stack Developer Role Overview As a Full Stack Developer you will design develop and maintain scalable web applications for global consumer and enterprise commerce projects. You will work closely with cross-functional teams—including design database and DevOps specialists—to deliver robust solutions for large-scale retail environments. Key Responsibilities Develop test and maintain web applications using Java Node.js or Next.js for backend and React (or similar advanced frontend frameworks) for frontend Collaborate with designers to ensure seamless integration of UI/UX elements. Implement and integrate RESTful APIs for smooth frontend-backend communication Should have experience in developing apps in AWS and Azure environment Design manage and optimize relational and NoSQL databases (e.g. MySQL MongoDB PostgreSQL CouchDB) Participate in code reviews agile ceremonies and collaborative planning sessions Ensure application responsiveness cross-platform compatibility and adherence to security best practices Use Git for version control and participate in CI/CD pipeline processes Troubleshoot debug and optimize application performance Stay updated with the latest development trends and tools. Qualifications 3–6 years of professional experience as a Full Stack Developer (5+ years for a senior level resource) Proficiency in backend: Java Node.js or Next.js Proficiency in frontend: React (preferred) with experience in other frameworks like Angular or Vue.js a plus. Solid understanding of database design and management (SQL and NoSQL) Experience with RESTful APIs Git and agile methodologies Exposure to cloud platforms (AWS Azure or GCP) and DevOps practices is desirable Strong communication and teamwork skills ability to work in multi-skilled teams Bachelor’s degree in Computer Science Engineering or related field (or equivalent experience) Certifications (good to have – one of more) Microsoft Certified: Azure Developer Associate Or similar AWS Certified Developer – Associate or similar Google Cloud Certified – Professional Cloud Developer or similar Senior Full Stack Developer Location: Remote but will need proximity to Pune/Bangalore offices for team collaboration/training/delivery projects. Role Overview As a Senior Full Stack Developer you will architect lead and deliver complex scalable web solutions for global commerce and large-scale retail projects. You will provide technical leadership mentor teams and drive best practices across backend and frontend development database design DevOps and cloud integration. Experience level must be in the 7+ 12 year experience range and atleast of 4 years of full stack active hands on experience Key Responsibilities Lead the design development and optimization of enterprise-grade web applications using Java Node.js or Next.js (backend) and React or similar advanced frontend frameworks Should have experience in developing apps in AWS and Azure environment Architect scalable high-performance solutions for global consumer and enterprise commerce platforms Oversee and guide the integration of RESTful APIs microservices and third-party systems Mentor and coach junior developers promote best practices in code quality testing and deployment Collaborate with cross-functional teams (design database DevOps business analysts) to align technical solutions with business goals Drive database architecture optimization and security for both SQL and NoSQL systems Champion CI/CD automated testing and cloud-native deployment strategies (AWS Azure GCP) Ensure application security compliance and data integrity across all layers Lead troubleshooting performance tuning and incident resolution for mission-critical applications Stay ahead of emerging technologies frameworks and industry trends drive continuous improvement Qualifications 7+ years of full stack development experience including large-scale global projects in consumer or enterprise commerce/retail Advanced expertise in backend: Java Node.js or Next.js strong experience with microservices architecture Advanced expertise in frontend: React (preferred) with proficiency in other modern frameworks (Angular Vue.js etc.) Deep knowledge of database systems (MySQL PostgreSQL MongoDB CouchDB) and data modeling for scalability and security Proven experience with CI/CD DevOps and cloud infrastructure (AWS Azure GCP) Strong leadership mentoring and cross-team collaboration skills Excellent problem-solving communication and documentation abilities Bachelor’s or Master’s degree in Computer Science Engineering or related field Experience in the retail or commerce domain is highly valued Certifications (good to have /one or more of the below) AWS/Azure or GCP Certification DevOps/Kubernetes Senior full stack developers are expected to be AI-ready leveraging AI tools not just for coding assistance but to architect intelligent scalable applications that integrate AI and machine learning capabilities effectively Using AI-powered coding assistants like GitHub Copilot and improving productivity Integrating AI/ML models for personalization recommendations natural language processing (NLP) and predictive analytics into full stack applications enhancing user experience and backend intelligence Understanding AI frameworks such as TensorFlow PyTorch and Keras Driving innovation by combining AI capabilities with strong system design cloud infrastructure and DevOps practices to deliver robust scalable and intelligent applications Location: DGS India - Pune - Extentia Tower Brand: Merkle Time Type: Full time Contract Type: Permanent

" About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. About the Role We are seeking a highly motivated Data Engineer to join our Data Platform team for our Edge Computing AI Platform.  As a Data Engineer in our Data Platform team you will be responsible for helping us shape the future of data ingestion processing and analysis while maintaining and improving existing data systems.  If you are a highly motivated individual with a passion for cutting-edge AI cloud edge and infrastructure technology and are ready to take on the challenge of defining and delivering a new computing and AI platform we would love to hear from you. Location. This role is office-based at our Trivandrum Kerala office.  What You'll Do (Key Responsibilities) Build new tools and services that support other teams’ data workflows ingestion processing and distribution. Design discuss propose and implement to our existing data tooling and services.   Collaborate with a diverse group of people giving and receiving feedback for growth.   Execute on big opportunities and contribute to building a company culture rising to the top of the AI and Edge Computing industry.   Required Qualifications 6+ years of experience in software development. Experience with data modeling ETL/ELT processes streaming data pipelines. Familiarity with data warehousing technologies like Databricks/Snowflake/BigQuery/Redshift and data processing platforms like Spark working with data warehousing file formats like Avro and Parquet.   Strong understanding of Storage (Object Stores Data Virtualization) and Compute (Spark on K8S Databricks AWS EMR and the like) architectures used by data stack solutions and platforms. Experience with scheduler tooling like Airflow.  Experience with version control systems like Git and working using a standardized git flow.   Strong analytical and problem-solving skills with the ability to work independently and collaboratively in a team environment. Professional experience developing data-heavy platforms and/or APIs.  A strong understanding of distributed systems and how architectural decisions affect performance and maintainability. Bachelor’s degree in computer science Electrical Engineering or related field. Preferred Qualifications Experience analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability.   Proficiency with a deep learning framework such as TensorFlow or Keras. Understanding of MLOps practices and practical experience with platforms like Kubeflow / Sagemaker. Compensation & Benefits For India-based candidates: We offer a competitive base salary along with equity options providing an opportunity to share in the success and growth of Armada. #LI-JV1 #LI-Onsite  You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious have strong business acumen and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information solve problems efficiently and deliver results with a ""get-it-done"" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit capable of working quickly and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you  Equal Opportunity Statement At Armada we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer we strictly prohibit discrimination or harassment based on race color gender religion sexual orientation national origin disability genetic information pregnancy or any other characteristic protected by law. This policy applies to all employment decisions including hiring promotions and compensation. Our hiring is guided by qualifications merit and the business needs at the time.  "

About the Role We are seeking an AI Engineer who can design develop and deploy AI/ML models for personalization recommendation and computer vision use cases. This role involves working closely with our product and engineering teams to implement algorithms that power outfit recommendations visual search trend analysis and virtual try-on experiences. Key Responsibilities Research design and build AI/ML models for outfit recommendations personalization engines and fashion trend predictions. Develop and optimize computer vision models for wardrobe digitization virtual try-on and garment recognition. Implement NLP models to understand user preferences queries and style language. Work with vector databases (Qdrant Pinecone FAISS etc.) to build scalable recommendation and similarity search systems. Optimize ML pipelines for performance scalability and real-time inference. Collaborate with the engineering team to integrate AI models into the mobile app and backend services. Monitor evaluate and improve models using A/B testing user feedback and performance metrics. Stay updated with the latest research and tools in AI for fashion recommendation systems and generative AI. Required Skills & Qualifications Bachelor’s/Master’s in Computer Science AI Machine Learning or related fields. 2–5 years of hands-on experience in AI/ML model development. Strong programming skills in Python and frameworks like PyTorch TensorFlow or Keras. Experience with recommendation systems collaborative filtering and personalization algorithms. Solid understanding of computer vision techniques (image classification object detection segmentation GANs). Knowledge of NLP techniques (transformers embeddings sentiment/style analysis). Hands-on experience with vector databases (Qdrant Pinecone FAISS) for similarity search. Experience deploying models in production with AWS/GCP/Azure Docker and CI/CD pipelines. Strong knowledge of data preprocessing feature engineering and model evaluation. Preferred Qualifications Experience in fashion-tech or e-commerce recommendation systems. Familiarity with LLMs and multimodal AI for fashion applications. Experience with real-time inference and large-scale ML systems. Research background in generative AI (GANs diffusion models) for virtual try-on and AI-driven design. Job Type: Full-time Job Type: Full-time Pay: ₹15824.09 - ₹51561.77 per month Work Location: Remote

Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream making product discovery more intuitive and conversational for customers and more profitable for businesses. We’re making conversational shopping a reality connecting every shopper with tailored guidance and product expertise — available on demand at every touchpoint in their journey. We're designing the future of autonomous marketing taking the work out of workflows and reclaiming the creative strategic and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services hospitality to gaming businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1400 global brands including American Eagle Sonepar and Pandora.We are seeking a Senior AI Engineer to join our dynamic team. In this role you will be instrumental in building data-driven ML/AI algorithms that enhance our search and recommendation systems. Your primary focus will be on data engineering analysis transformations model training and serving ensuring practical and scalable applications of machine learning within our products. This position emphasizes productization and the implementation of ML/AI solutions over pure data science and research making it ideal for professionals thriving in the fast-paced generative AI era. Key Responsibilities Data Engineering & Analysis Slice and dice analytics data to formulate hypotheses and generate ideas to improve search and recommendation performance. Perform comprehensive data transformations to prepare datasets for model training and evaluation. Build and maintain data pipelines using tools like Airflow Kubeflow and MLflow to support ML/AI workflows. Model Development & Deployment Design develop and enhance machine learning and AI models tailored to product discovery and search functionalities. Conduct feature engineering to extract meaningful insights from historical data search queries product catalogs and images. Collaborate with Data Engineers to integrate and scale ML components to production-level systems capable of handling large-scale data. Ensure seamless deployment of models maintaining high availability and performance in cloud environments. Algorithm Implementation & Optimization Dive deep into algorithm applicability performing impact analysis to ensure models meet performance and business objectives. Optimize and build new algorithms to address various challenges in product discovery and search. Productization of ML/AI Solutions Translate data-driven insights and models into actionable product features that enhance user experience. Work closely with Data Science Product and Engineering teams to implement practical ML/AI applications that drive business outcomes. Continuous Learning & Improvement Stay abreast of the latest advancements in ML/AI particularly in generative AI and large language models (LLMs). Continuously refine and improve existing models and workflows based on new research and industry trends. Qualifications Educational Background BS/MS degree in Computer Science Engineering Mathematics or a related discipline with a strong mathematical foundation. Experience 5-8 years of experience building ML-driven fast and scalable ML/AI algorithms in a corporate or startup environment. Technical Skills Proficient in Python with excellent programming skills. Strong understanding of machine learning and natural language processing technologies including classification information retrieval clustering knowledge graphs semi-supervised learning and ranking. Experience with deep learning frameworks such as PyTorch Keras or TensorFlow. Proficient in SQL and experience with data warehouses like Redshift or BigQuery. Experience with big data technologies such as Hadoop Spark Kafka and data lakes for large-scale processing. Strong understanding of data structures algorithms and system design for building highly available high-performance systems. Experience with workflow orchestration and ML pipeline tools such as Airflow Kubeflow and MLflow. Specialized Knowledge Strong awareness of recent trends in Generative AI and Large Language Models (LLMs). Experience working with the GenAI stack is highly desirable. Soft Skills Excellent problem-solving and analytical skills with the ability to adapt to new ML technologies. Effective communication skills in English both verbal and written. Ability to work collaboratively in a fast-paced agile environment. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don’t clock in and out and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one.  We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment onboarding feedback personal development performance review and internal communication.  We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5 Personal Development: We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1500 professional education budget on an annual basis to purchase education products (books courses certifications etc.) Well-being: The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports yoga and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member’s role seniority and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! (Subject to employment type. Interns are exempt from marked benefits usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you but you know someone who might be a great fit share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. #LI-Remote

"Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first we are also dedicated to our employees investing in competitive compensation and comprehensive benefit plans – to take care of you and your family now and in the future. And with continuing education and advancement opportunities at every turn you can build a long successful career with Mayo Clinic. Benefits Highlights Medical: Multiple plan options. Dental: Delta Dental or reimbursement account for flexible coverage. Vision: Affordable plan with national network. Pre-Tax Savings: HSA and FSAs for eligible expenses. Retirement: Competitive retirement package to secure your future. Responsibilities AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data systems and computer sciences. They work closely with a multidisciplinary team including clinicians user experience designers product managers IT professionals and external partners to develop and deploy effective efficient and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency. As an AI/ML Engineer you may work on the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well including workflows challenges and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data including patient records to develop AI solutions that meet healthcare finance needs and are integrated smoothly into financial and administrative processes. Experience with deploying forecasting anomaly detection or finance LLM solutions is preferred. You will develop integrate and standardize software components and create maintain and follow quality system procedures. You will work on the engineering of systems that are pivotal to developing and deploying these solutions which encompass everything from design requirements development component creation verification non-clinical validation and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design testing and maintenance of tools and associated CI/CD pipelines. Working on component design development integration and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations. Collaborating with a multidisciplinary team including clinicians user experience designers product managers and IT professionals to understand user needs workflows and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutions. Interpreting / analyzing data to inform strategic decisions and communicate complex findings in easily understandable terms to bridge the gap between AI technologies and clinical applications. Leveraging machine learning techniques such as deep learning natural language processing computer vision large language models etc. to design develop and deploy end-to-end AI solutions for healthcare applications. Participating in the engineering of systems crucial for developing and deploying AI solutions. Facilitating consistent and automated AI software solution development and releases through the design testing and maintenance of tools and associated CI/CD pipelines. Contributing to implementing the best practices and standards for AI development and deployment methodologies tools and platforms. Providing training and education to healthcare staff on the use of AI tools and technologies. Qualifications A master’s degree in engineering computer science mathematics health science or a related field and 1 year experience required OR A bachelor’s degree with 3 years of experience required Experience applying AI and machine learning in production environments or similar highly regulated or technology focused industries showcasing an understanding of healthcare technology. Skill in cloud infrastructure environment and software development tools. Experience working with large complex and heterogeneous data sets preferably in healthcare. Skill in AI/ML techniques and frameworks. History of collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders. Familiarity with best practices in data engineering data science AI Engineering and the MLOps communities. Strong interpersonal communication and time management skills. Preferred Qualifications: A Ph.D. or other doctorate degree is preferred. Expertise in AI/ML techniques and frameworks such as deep learning natural language processing and Generative AI with proficiency in tools like Python TensorFlow PyTorch sci-kit-learn Keras etc. Knowledge of the healthcare domain including clinical workflows electronic health records medical terminologies regulatory requirements and industry standards. Familiarity with systems or quality engineering best practices regulatory standards and compliance frameworks with the ability to adapt these effectively to different project scenarios. Expertise in user-centered design human factors engineering usability testing methodologies and evaluation across AI product development. Ability to conduct expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice. Ability to articulate complex technical concepts to diverse audiences facilitating clear understanding and engagement from technical and non-technical stakeholders. Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends. Experience with healthcare industry informatics standards best practices and common data models. This position is a 100% remote work. Individual may live anywhere in the US. This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position. Exemption Status Exempt Compensation Detail $113776 - $164985/ year Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Standard Days M-F Weekend Schedule As Needed International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots so have our locations. Today our employees are located at our three major campuses in Phoenix/Scottsdale Arizona Jacksonville Florida Rochester Minnesota and at Mayo Clinic Health System campuses throughout Midwestern communities and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race color religion sex gender identity sexual orientation national origin protected veteran status or disability status. Learn more about the ""EOE is the Law"". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and if necessary the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Recruiter Ronnie Bartz"

Role Description Machine Learning Engineers at Dropbox develop high-impact products that advance Dropbox’s mission of designing a more enlightened way of working. Dropbox MLE’s deliver products using the full range of ML techniques—including computer vision natural language processing recommendation systems large language models (LLMs) and LLM-driven agents—and modern practices such as LLM fine-tuning prompt engineering and retrieval-augmented generation (RAG).While some of our algorithms run on mobile devices others require large clusters on our infrastructure. Accordingly we apply techniques like model compression distillation on-device optimization and scalable training/serving with robust evaluation and monitoring. Dropbox is looking for Machine Learning Engineers with an academic or practical background in ML ideally with experience in natural language understanding information retrieval knowledge extraction or deep learning as well as hands-on work with LLMs (pre-training and fine-tuning including instruction tuning and LoRA/adapters) prompt engineering RAG pipelines safety/guardrails and evaluation and productionizing generative and predictive systems. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Design code train test deploy and iterate on large-scale ML and LLM systems across cloud and mobile/edge environments Build delightful privacy-first product experiences (e.g. intelligent search document understanding recommendations and AI assistants) in partnership with Engineering Product and Design Lead end-to-end LLM workflows: data curation prompt engineering retrieval-augmented generation (RAG)pipelines tool use/agents and fine-tuning (e.g. instruction tuning LoRA/adapters) with rigorous evaluation Develop and maintain production-quality services for training and serving including scalable APIs vector/feature stores and streaming/ETL data pipelines Optimize for latency cost and quality using techniques like quantization distillation caching batching and autoscaling tailor models for on-device vs. cluster execution Establish robust offline/online evaluation: experiment design A/B testing guardrails and safety checks hallucination mitigation and automated monitoring/observability with clear SLOs Communicate technical trade-offs risks and impact to cross-functional stakeholders write clear design docs roadmaps and decision records Partner with Security Legal and Privacy to ensure responsible AI data governance and compliance in training and inference Proactively explore and integrate advances in ML/AI (CV NLP recsys LLMs) and rapidly prototype and transfer promising research into production Mentor teammates contribute to code reviews and best practices and help shape the technical direction of ML and AI at Dropbox Many teams at Dropbox run Services with on-call rotations which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying. Requirements BS or MS in Computer Science or related technical field involving Machine Learning or equivalent technical experience 8+ years of experience in engineering with 5+ years of experience building Machine Learning or AI systems Strong industry experience working with large scale data Strong analytical and problem-solving skills Familiarity with search-related applications of Large Language Models Proven software engineering skills across multiple languages including but not limited to Python Go C/C++ Experience with Machine Learning software tools and libraries (e.g. PyTorch HuggingFace TensorFlow Keras Scikit-learn etc.) Preferred Qualifications PhD in Computer Science or related field with research in machine learning Experience with one or more of the following: natural language processing deep learning bayesian reasoning recommender systems learning to rank speech processing learning from semistructured data graph learning reinforcement or active learning large language models ML software systems retrieval-augmented generation machine learning on edge devices Experience building 0→1 ML products at large (dropbox-level) scale or multiple 0→1 products at smaller scale including experience with large-scale product systems Compensation US Zone 1 $236300—$319700 USD US Zone 2 $212700—$287700 USD US Zone 3 $189000—$255800 USD The range(s) listed above is the expected annual salary/OTE (On-Target Earnings) for this role subject to change. Please note OTE are for sales roles only. Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Dropbox takes a number of factors into account when determining individual starting pay including job and level they are hired into location/metropolitan area skillset and peer compensation. We target most new hire offers between the minimum up to the middle of the range. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use. Current US Zone locations are as follows: US Zone 1: San Francisco metro New York City metro or Seattle metro US Zone 2: California (outside SF metro) Colorado Connecticut (outside NYC metro) Delaware Illinois (Chicago metro) Indiana (Chicago metro) Maryland Massachusetts Michigan (Chicago metro) New Hampshire New Jersey (outside NYC metro) New York (outside NYC metro) Oregon Pennsylvania (D.C. metro) Pennsylvania (outside NYC or DC metro) Texas (Austin metro) Virginia (DC metro) Washington (outside Seattle metro) Washington DC metro West Virginia (DC metro) Wisconsin (Chicago metro) US Zone 3: All other US locations Dropbox is a Virtual First company and is open to hiring candidates in all authorized locations. Company Description Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities you can be who you are and grow into who you’re meant to be. Here you can own your impact to make work more intuitive joyful and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you. Team Description The Dropbox Engineering Team builds the technology that creates more enlightened ways of working for hundreds of millions of people. Every day our platforms—including Dropbox Dash Dropbox Sign and our core sync engine—handle over a billion files for users worldwide creating engineering challenges as great as the opportunity for impact. Our software engineering team uses a range of technologies to solve interesting problems including Python React Node.js JavaScript MongoDB PostgreSQL and Android development. We think like a startup but build for an enterprise exploring new possibilities that transform how people work. If you're excited about turning complex technical challenges into intuitive solutions at scale join our Engineering team. Areas of work include Machine Learning Engineers Infrastructure Engineer Product SWE Frontend and Backend Mobile Software Engineers (iOS and Android) Engineering Manager Data Engineer Software Development Engineer in Test Security Engineering Site Reliability Engineer Technical Program Managers Network Engineer Datacenter Engineer Technical Supply Chain Manager and more. Benefits Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include but are not limited to: Competitive medical dental and vision coverage 401(k) plan with a generous company match and immediate vesting Flexible PTO/Paid Time Off paid holidays Volunteer Time Off and more allowing you time to unplug unwind and refresh Income Protection Plans: Life and disability insurance Business Travel Protection: Travel medical and accident insurance Perks Allowance to be used on what matters most to you whether that’s wellness learning and development food and groceries and much more Parental benefits including: Parental Leave Child and Adult Care Day Care FSA Fertility Benefits Adoption and Surrogacy Support and Lactation Support Access to over 10000 global co-working spaces through Gable.to making it easy to book flexible workspaces for collaboration or individual work Quarterly Cell phone and internet allowance Mental health and wellness benefits Disability and neurodivergence support benefits Additional benefit details are available upon request. Dropbox supports responsible use of AI for preparation but misrepresentation of skills or experience is not permitted. See our AI philosophy . Dropbox is an equal opportunity employer. We are a welcoming place for everyone and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox BlackDropboxers enABLE TODOS (Latinx) Pridebox (LGBTQ) Vets at Dropbox and Women at Dropbox.

About Neo4j: Neo4j is the leader in Graph Database & Analytics helping organizations uncover hidden patterns and relationships across billions of data connections deeply easily and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j along with a vibrant community of 250000+ developers data scientists and architects across the globe. At Neo4j we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier broke the Panama Papers for the ICIJ and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit Lockheed Martin Novartis UBS and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it’s accuracy transparency and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn. Our Vision: At Neo4j we have always strived to help the world make sense of data. As business society and knowledge become increasingly connected our technology promotes innovation by helping organizations to find and understand data relationships. We created drive and lead the graph database category and we’re disrupting how organizations leverage their data to innovate and stay competitive. ### Job Description: Are you a passionate and results-oriented technology professional with a knack for solving complex problems? At Neo4j the leader in graph databases we're seeking a skilled Consulting Engineer to join our dynamic team. In this role you will work closely with our clients to architect and implement innovative solutions using the power of graph technology. You will be a trusted advisor guiding customers through every stage of the project lifecycle—from initial design and planning to successful deployment and go-live. ### Key Responsibilities: Lead and Deliver: Work with customers to lead and contribute to all phases of Neo4j implementation ensuring successful project delivery from inception to roll-out. Technical Expertise: Act as a technical subject matter expert during short to long-term consulting engagements. You’ll work hands-on with Neo4j products provide expert advice and guidance and help prepare solutions for production deployment. Solution Architecture: Design and build robust scalable solutions that meet the required functional and non-functional requirements of our customers’ projects. Customer Advocacy: Prepare solution proposals and technical documentation for customer engineering and management teams helping them understand how Neo4j can address their project goals. Training & Enablement: Help train and educate customers empowering them to effectively use and manage their Neo4j solutions. Collaboration: Work collaboratively with cross-functional teams including Sales Product Development and Customer Success to ensure a unified and exceptional client experience. ### Qualifications: Experience: At least 3 years of experience designing and developing enterprise-class applications with a focus on data analytics and data-driven solutions. Database Knowledge: Strong understanding and hands-on experience with database technologies and data modeling concepts. Experience with graph databases (e.g. Neo4j TigerGraph JanusGraph) is highly desirable. Technical Skills: Competence and hands-on experience in at least one of the following programming languages: Java JavaScript Python GO or C#. Architectural Knowledge: Familiarity with enterprise-scale software architectures application development methodologies and software deployment and operations. Deployment Experience: Hands-on experience with deployment software on major platforms such as Linux Docker or Kubernetes. Communication: Excellent written and verbal communication in English strong active listening skills and the confidence to present in a customer setting. Problem-Solving: A passion for solving technical problems independently and collaboratively with a keen interest in learning new technologies as needed. Autonomy: The ability to work independently self-directed and remotely within a cross-functional organization. ### Bonus Points: Experience in a consulting or professional services capacity. Experience with other database technologies such as Couchbase MongoDB Marklogic or Teradata. Familiarity with data science-related projects and packages (e.g. SciKit-Learn Keras TensorFlow). Knowledge of cloud platforms such as Amazon Web Services (AWS) Microsoft Azure or Google Cloud Platform (GCP). Industry vertical experience in Government Financial Services Retail or Telco. Willingness to travel up to 50% when clients prefer in-person meetings. Why Join Neo4j? Neo4j is without question the most popular graph database in the world. We have customers in every industry globally and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR) doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo GV (formerly Google Ventures) and Inovia Capital Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific BT Group Caterpillar Cisco Comcast Department for Education UK eBay NBC News Novo Nordisk Worldline and others. Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships inclusiveness innovation and customer success. Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact Study cited Neo4j as delivering 417% ROI to customers. Neo4j was named as a Visionary in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave: Vector Databases Q3 2024. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive diverse and equitable workplace for everyone to develop their potential and have a positive career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUSON]->(userSuccess) (we)-[:THRIVEIN]->(:Culture {type: [‘Open’ ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVERON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.