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Machine Learning Engineer

Remote Canada

A Career at Clarius Today as many as 25 million medical professionals globally don’t have access to medical imaging which is proven to improve patient care and reduce healthcare costs. That’s why we’re on a mission to make medical imaging accessible everywhere by delivering high-performance affordable and easy-to-use solutions powered by artificial intelligence and connected to the cloud. By making Clarius your next career move you’re joining a team of 150+ people who are talented innovative and highly collaborative. You’re also joining a community that includes thousands of physicians worldwide who use Clarius to deliver better patient care! And you’re joining a thrice-certified Great Place to Work! Your Role Clarius Mobile Health is seeking a Machine Learning Engineer to contribute to a special project focused on expanding access to ultrasound technology while advancing our next-generation innovations. Over the next 24 months you'll focus on the development training and deployment of machine learning models in both research and production settings. This role requires strong software engineering practices and the ability to find creative solutions that continually improve the performance and safety of ML in production. If we meet our project milestones there's a strong possibility of this role being extended or turning into a permanent position Your Responsibilities Include Develop train and deploy machine learning models for both research and production environments Improve and maintain ML tools ensuring robustness and scalability Design optimize and maintain ML data pipelines for efficient processing and training Automate ML tasks model retraining evaluation and monitoring in production Collaborate with researchers and software engineers to transfer ML research into practical applications Address and minimize ML technical debt ensuring maintainable and efficient code Optimize model performance and inference speed for production deployment Your Experience so Far Bachelor's or Master's degree in Computer Science Machine Learning or equivalent field 3+ years of industry experience in machine learning roles Deep expertise in deep learning and computer vision Mastery in Python development with Unix/Linux Proficiency in TensorFlow and PyTorch Software engineering best practices (version control testing code quality) Ability to communicate ML concepts to technical audiences Preferred C++ and Javascript development Building scalable web applications and ML tools Model optimization and inference speed tuning Cloud platforms and deployment (Docker Kubernetes AWS GCP) Location Vancouver BC (hybrid preferred remote candidates will be considered) Contract Duration Two-year fixed-term through October 2028 with strong likelihood of extension upon meeting project deliverables Salary Range $110000 - $130000 CAD More Reasons to Consider Be Part of a High-Impact Project – You’ll play a key role in creating a more affordable ultrasound solution making medical imaging more accessible worldwide. Work for a Three-Time Certified Great Place to Work – Clarius has been recognized three times as a great place to work and you’ll be joining a company that values innovation teamwork and employee well-being. Workspace Our modern office features sit/stand desks various health & wellness facilities a stocked kitchen outdoor amenities on-site daycare enclosed parking a free on-site gym and close proximity to a SkyTrain station. Clarius Mobile Health is proud to be an Equal Opportunity Employer. We encourage applications from any qualified candidate regardless of ethnicity religion age national origin disability status sexual orientation gender identity or expression. Please let us know if you require any accommodations during the interview process. Use of Artificial Intelligence in the Recruitment Process As part of our recruitment and assessment process we may use artificial intelligence tools to support certain activities. This may include but is not limited to reviewing applications supporting candidate assessments and conducting or facilitating one way video interviews. Where AI tools are used they are intended to support our recruitment process and do not replace human decision making. Candidates may be informed where AI is used as part of an assessment and will have the opportunity to engage with the recruitment process in accordance with applicable laws and our recruitment practices. Requirements Bachelor's or Master's degree in Computer Science Machine Learning or equivalent field 3+ years of industry experience in machine learning roles Strong background in machine learning and artificial intelligence with expertise in deep learning and computer vision Mastery in Python development with Unix/Linux. You strive for clean correct code while iterating on experiments in Python Knowledge of common ML frameworks TensorFlow and PyTorch Experience in software engineering best practices including version control testing and code quality Ability to explain and present analyses and machine learning concepts to a broad technical audience A passion for making ML methods robust scalable and maintainable Preferred C++ and Javascript development experience Experience with building scalable web applications and ML tools Experience optimizing model performance and inference speed Familiarity with cloud platforms and deployment tools (Docker Kubernetes AWS GCP) What You'll Bring Strong problem-solving skills and ability to tackle complex ML engineering challenges Collaborative mindset thriving in cross-functional teams Commitment to continuous improvement and learning Initiative to address technical challenges and drive innovation

Technical Recruiter (Remote)

Role Technical Recruiter (Remote) Location Remote (Work from Anywhere) Job Type Full-Time Payout $160K - $300K/yr Role Overview This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing screening and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions. Key Responsibilities • Design implement and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency. • Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis. • Integrate Zara with applicant tracking systems HR databases and third-party job platforms via APIs. • Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics. • Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows. Required Skills & Qualifications • Proficiency in Python including experience with machine learning frameworks like TensorFlow or PyTorch. • Strong background in natural language processing including experience with libraries such as spaCy or Hugging Face. • Experience building and deploying scalable AI systems in production environments. • Familiarity with cloud platforms (AWS GCP or Azure) and containerization tools like Docker. • Knowledge of SQL and NoSQL databases for data extraction and integration. • Understanding of ethical AI principles and bias mitigation techniques in recruitment systems. • Experience with RESTful APIs and microservices architecture. • Background in data pipeline development and ETL processes. More About the Opportunity This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology. Equal Opportunity Employer We hire based on skills and expertise. All qualified candidates are welcome regardless of background experience or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

Software Golang Kubernetes Engineer

This position is available only under an employment (labor) agreement. The world’s digital experiences run on something invisible the infrastructure and software that keep them fast reliable and secure. At Gcore you’ll help design and deliver that foundation for an AI-driven world. We’re a global provider of infrastructure and software solutions for AI cloud network and security powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations 50+ cloud regions and thousands of GPUs your work here can reach users and businesses across the globe. You’ll collaborate with leading technology partners such as Intel NVIDIA Dell and Equinix and work on platforms that power digital products used around the world. Our vision is simple to connect the world to AI anywhere anytime. Want to work on technology that goes beyond a single product or industry? Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem. We're looking for an experienced Golang Engineer to build Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads. What You'll Do Design and implement AI inference and model training cloud products optimized for Kubernetes - from autoscaling inference servers to distributed training jobs across GPU fleets Write clean efficient and maintainable Go code to power Kubernetes controllers operators and custom resources supporting AI workloads Build APIs CLIs and developer tools that simplify the deployment lifecycle management and monitoring of AI applications Develop features that optimize serverless container workflows for AI ensuring fast cold starts resource-efficient scaling and workload isolation Contribute to system performance reliability and security with a focus on AI-specific challenges such as GPU scheduling job orchestration and data throughput Stay on top of Kubernetes ecosystem advancements (e.g. K8s-native ML tooling scheduling improvements SIGs) and influence our product roadmap accordingly What We're Looking For Strong proficiency in Go programming with experience in Kubernetes development including controllers and operators. Deep understanding of Kubernetes architecture resource management and container orchestration. Experience working with Kubernetes APIs and custom resources (CRDs). Solid knowledge of cloud-native technologies and frameworks including Docker and Helm. Strong problem-solving skills with a passion for tackling complex challenges in distributed systems. Excellent communication skills and the ability to thrive in a collaborative team-oriented environment. Nice to Have Experience with Python programming language Experience with developing AI/ML pipelines or integrating AI frameworks (e.g. TensorFlow PyTorch) into Kubernetes. Understanding of GPU scheduling and optimization in Kubernetes environments. Knowledge of security best practices in Kubernetes including role-based access control (RBAC) and container security. Contributions to open-source Kubernetes projects or cloud-native communities. Benefits At Gcore we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth well-being and life beyond work Competitive compensation Flexible working hours and hybrid or remote options depending on your role Work from anywhere in the world for up to 45 days per year Private medical insurance for you and your family Extra paid vacation and sick leave days Support for life’s important moments and celebrations Language courses to help you connect and grow Modern welcoming offices with snacks drinks and entertainment Team sports and social activities Benefits may vary depending on your location. Equal Opportunity Employer We provide equal opportunity to all applicants without regard to race color religion sex sexual orientation age gender identity gender expression national origin disability or any other legally protected characteristics.

Software Golang Kubernetes Engineer

This position is available only under an employment (labor) agreement. The world’s digital experiences run on something invisible the infrastructure and software that keep them fast reliable and secure. At Gcore you’ll help design and deliver that foundation for an AI-driven world. We’re a global provider of infrastructure and software solutions for AI cloud network and security powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations 50+ cloud regions and thousands of GPUs your work here can reach users and businesses across the globe. You’ll collaborate with leading technology partners such as Intel NVIDIA Dell and Equinix and work on platforms that power digital products used around the world. Our vision is simple to connect the world to AI anywhere anytime. Want to work on technology that goes beyond a single product or industry? Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem. We're looking for an experienced Golang Engineer to build Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads. What You'll Do Design and implement AI inference and model training cloud products optimized for Kubernetes - from autoscaling inference servers to distributed training jobs across GPU fleets Write clean efficient and maintainable Go code to power Kubernetes controllers operators and custom resources supporting AI workloads Build APIs CLIs and developer tools that simplify the deployment lifecycle management and monitoring of AI applications Develop features that optimize serverless container workflows for AI ensuring fast cold starts resource-efficient scaling and workload isolation Contribute to system performance reliability and security with a focus on AI-specific challenges such as GPU scheduling job orchestration and data throughput Stay on top of Kubernetes ecosystem advancements (e.g. K8s-native ML tooling scheduling improvements SIGs) and influence our product roadmap accordingly What We're Looking For Strong proficiency in Go programming with experience in Kubernetes development including controllers and operators. Deep understanding of Kubernetes architecture resource management and container orchestration. Experience working with Kubernetes APIs and custom resources (CRDs). Solid knowledge of cloud-native technologies and frameworks including Docker and Helm. Strong problem-solving skills with a passion for tackling complex challenges in distributed systems. Excellent communication skills and the ability to thrive in a collaborative team-oriented environment. Nice to Have Experience with Python programming language Experience with developing AI/ML pipelines or integrating AI frameworks (e.g. TensorFlow PyTorch) into Kubernetes. Understanding of GPU scheduling and optimization in Kubernetes environments. Knowledge of security best practices in Kubernetes including role-based access control (RBAC) and container security. Contributions to open-source Kubernetes projects or cloud-native communities. Benefits At Gcore we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth well-being and life beyond work Competitive compensation Flexible working hours and hybrid or remote options depending on your role Work from anywhere in the world for up to 45 days per year Private medical insurance for you and your family Extra paid vacation and sick leave days Support for life’s important moments and celebrations Language courses to help you connect and grow Modern welcoming offices with snacks drinks and entertainment Team sports and social activities Benefits may vary depending on your location. Equal Opportunity Employer We provide equal opportunity to all applicants without regard to race color religion sex sexual orientation age gender identity gender expression national origin disability or any other legally protected characteristics.

Machine Learning Engineer, New Grad

Jobright is your personal AI job search agent that transforms the way you do job search from solo time-consuming efforts to a fast expert-guided journey simplifying every job search step and accelerating your route to the best job outcomes. As a Machine Learning Engineer New Grad you will contribute to model development data pipelines evaluation systems and machine-learning features across search and recommendations. Why Join Us • Build real production AI agents used by real users • High ownership and impact • Work at the intersection of AI agents and product • Shape how people experience AI-driven job search Responsibilities • Develop and evaluate machine-learning models for search and recommendations • Prepare and analyze datasets for model training and evaluation • Build data and model evaluation pipelines • Experiment with ranking classification NLP and personalization techniques • Monitor model quality and investigate performance issues • Collaborate with AI engineers software engineers data scientists and product teams Qualification Required • Recent graduate or graduating soon in Machine Learning Computer Science Statistics Mathematics or a related field • Strong Python programming skills • Understanding of supervised learning model evaluation and statistics • Familiarity with NumPy pandas and scikit-learn or similar tools • Ability to work with data and communicate technical findings clearly • Ability to work remotely Preferred • Experience with PyTorch TensorFlow or deep learning • Familiarity with recommendation systems search ranking or NLP • Experience with LLMs embeddings or retrieval systems • Knowledge of MLOps model monitoring or cloud platforms • Previous research internship or machine-learning project experience

Senior Machine Learning Engineer

Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership 2000+ team members and 500+ active projects powering Fortune 500 clients including HBO Microsoft Google and Starbucks. From AI platforms to digital transformation we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious collaborative and constantly evolving. About The Client The leading provider of vehicle lifecycle solutions with headquarters in Chicago enables the companies that build insure and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile artificial intelligence and car technologies. It connects a network of 350+ insurance companies 24000+ repair facilities hundreds of parts suppliers and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Design and implement end-to-end document intelligence pipelines on AWS Develop and optimize ML models for document classification segmentation and field extraction Build scalable data processing systems handling PDFs up to 2000 pages Collaborate with subject matter experts to create and refine requirements for extraction Own features from research through production deployment and monitoring Establish evaluation frameworks and quality metrics for extraction accuracy What You Bring Advanced knowledge of Python (native Pandas ScikitLearn Tensorflow or Pytorch PyStats Pydantic) Experience with AWS tools for ML Engineering and ML deployment (Sagemaker Lambda Cloudformation/CDK Step Functions) Advanced knowledge of SQL and Data Modeling Experience with GenAI for document intelligence including prompt engineering RAG (Retrieval Augmented Generation) multi-modal models (vision + text) and production deployment using AWS Bedrock or Azure OpenAI APIs Experience in experiment design (power analysis and hypothesis testing) Proficiency in both written and verbal communication required for a remote and largely asynchronous work environment Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions Experience owning a feature from concept to production including proposal discussion and execution Nice to have Experience with document processing tools (AWS Textract Azure Document Intelligence or similar OCR/layout detection systems) Experience with PDF and Image processing libraries (e.g. PyMuPDF Opnecv pillow) Experience in Machine Learning/ Data Science (e.g. ML algorithm selection feature engineering model training hyperparameter tuning supervised and unsupervised learning implementation building a model pipelines using Machine Learning tools/libraries/frameworks) Experience working with AWS big data technologies (Redshift S3 EMRGlue etc.) English level Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority gender identity sexual orientation disability age and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office hybrid or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust respect and purpose. We believe in open dialogue creative freedom and mentorship that helps you grow lead and make a real difference. Ours is a culture where ideas are challenged voices are heard and your impact matters.

Machine Learning Engineer

← All Jobs Machine Learning Engineer Remote Canada Temporary Intermediate About The Position A Career at Clarius Today as many as 25 million medical professionals globally don’t have access to medical imaging which is proven to improve patient care and reduce healthcare costs. That’s why we’re on a mission to make medical imaging accessible everywhere by delivering high-performance affordable and easy-to-use solutions powered by artificial intelligence and connected to the cloud. By making Clarius your next career move you’re joining a team of 150+ people who are talented innovative and highly collaborative. You’re also joining a community that includes thousands of physicians worldwide who use Clarius to deliver better patient care! And you’re joining a thrice-certified Great Place to Work! Your Role Clarius Mobile Health is seeking a Machine Learning Engineer to contribute to a special project focused on expanding access to ultrasound technology while advancing our next-generation innovations. Over the next 24 months you'll focus on the development training and deployment of machine learning models in both research and production settings. This role requires strong software engineering practices and the ability to find creative solutions that continually improve the performance and safety of ML in production. If we meet our project milestones there's a strong possibility of this role being extended or turning into a permanent position Your Responsibilities Include Develop train and deploy machine learning models for both research and production environments Improve and maintain ML tools ensuring robustness and scalability Design optimize and maintain ML data pipelines for efficient processing and training Automate ML tasks model retraining evaluation and monitoring in production Collaborate with researchers and software engineers to transfer ML research into practical applications Address and minimize ML technical debt ensuring maintainable and efficient code Optimize model performance and inference speed for production deployment Your Experience So Far Bachelor's or Master's degree in Computer Science Machine Learning or equivalent field 3+ years of industry experience in machine learning roles Deep expertise in deep learning and computer vision Mastery in Python development with Unix/Linux Proficiency in TensorFlow and PyTorch Software engineering best practices (version control testing code quality) Ability to communicate ML concepts to technical audiences Preferred C++ and Javascript development Building scalable web applications and ML tools Model optimization and inference speed tuning Cloud platforms and deployment (Docker Kubernetes AWS GCP) Location Vancouver BC (hybrid preferred remote candidates will be considered) Contract Duration Two-year fixed-term through October 2028 with strong likelihood of extension upon meeting project deliverables Salary Range $110000 - $130000 CAD More Reasons To Consider Be Part of a High-Impact Project – You’ll play a key role in creating a more affordable ultrasound solution making medical imaging more accessible worldwide. Work for a Three-Time Certified Great Place to Work – Clarius has been recognized three times as a great place to work and you’ll be joining a company that values innovation teamwork and employee well-being. Workspace Our modern office features sit/stand desks various health & wellness facilities a stocked kitchen outdoor amenities on-site daycare enclosed parking a free on-site gym and close proximity to a SkyTrain station. Clarius Mobile Health is proud to be an Equal Opportunity Employer. We encourage applications from any qualified candidate regardless of ethnicity religion age national origin disability status sexual orientation gender identity or expression. Please let us know if you require any accommodations during the interview process. Use of Artificial Intelligence in the Recruitment Process As part of our recruitment and assessment process we may use artificial intelligence tools to support certain activities. This may include but is not limited to reviewing applications supporting candidate assessments and conducting or facilitating one way video interviews. Where AI tools are used they are intended to support our recruitment process and do not replace human decision making. Candidates may be informed where AI is used as part of an assessment and will have the opportunity to engage with the recruitment process in accordance with applicable laws and our recruitment practices. Requirements Bachelor's or Master's degree in Computer Science Machine Learning or equivalent field 3+ years of industry experience in machine learning roles Strong background in machine learning and artificial intelligence with expertise in deep learning and computer vision Mastery in Python development with Unix/Linux. You strive for clean correct code while iterating on experiments in Python Knowledge of common ML frameworks TensorFlow and PyTorch Experience in software engineering best practices including version control testing and code quality Ability to explain and present analyses and machine learning concepts to a broad technical audience A passion for making ML methods robust scalable and maintainable Preferred C++ and Javascript development experience Experience with building scalable web applications and ML tools Experience optimizing model performance and inference speed Familiarity with cloud platforms and deployment tools (Docker Kubernetes AWS GCP) What You'll Bring Strong problem-solving skills and ability to tackle complex ML engineering challenges Collaborative mindset thriving in cross-functional teams Commitment to continuous improvement and learning Initiative to address technical challenges and drive innovation Apply for this position

Member of Technical Staff, Search

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers engineers designers and more who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London New York City San Francisco Montreal Paris Berlin and Seoul. Join us! Member of Technical Staff Search Why this role? We are looking for talented individuals to help us develop state-of-the-art models for information retrieval as part of our Search team. This group is working on a range of tasks including training our embedding and reranker models. You'll have the opportunity to revolutionise people's search experience by contributing to building an intelligent efficient and precise search system and you would have a lot of opportunity to try new things out innovate and productionize your ideas. Your work will specifically focus on advancing semantic search techniques to improve accuracy and efficiency involving working with a wide range of novel technologies and collaborating with other teams to integrate your work into our search infrastructure. We're looking for someone who is passionate about search and has a strong background in information retrieval. Candidates should have experience working with a wide range of technologies and have worked collaboratively with other teams in the past. As a Member of Technical Staff on this team you will Design train and improve upon cutting-edge search models. Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation. Work closely with the model serving team to ensure that inference is fast and stable. Collaborate with product teams to develop solutions. Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals. Join us at a pivotal moment shape what we build have a strong ownership mindset and wear multiple hats! You May Be a Good Fit If You Have Proficiency in Python and related ML frameworks such as PyTorch Tensorflow TF-Serving JAX and XLA/MLIR. Familiarity with training and using various information retrieval models. Experience leveraging Large Language Models as part of training data or evaluation pipelines. Strong communication and problem-solving skills. Bonus Points For Experience building training and/or evaluation datasets for practical use cases. Proficiency in other programming languages such as C++ or Golang. Experience using large-scale distributed training strategies with GPUs. Full-Time Employees At Cohere Enjoy These Perks A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits including a separate budget for mental health. RRSP matching 401K Pension Scheme. 100% Parental Leave top-up for up to 6 months for either parent. Annual enrichment benefits Arts & culture fitness/wellness quality time and a workspace improvement credit. Education & learning stipend for conferences courses and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote plus an annual company offsite. How And Where We Work Cohere is remote-friendly but we also have offices in Toronto London New York City San Francisco Montreal Paris Berlin and Seoul with more opening soon. For those in the office a daily lunch program plenty of snacks and regular community and social events. For those not near an office a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience we still encourage you to apply. We strive to create an inclusive work environment for all we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process please submit an Accommodations Request Form and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates but it doesn't limit the applications our recruiters may review or consider. Beware of Scams Cohere will never ask for payment or third-party services (e.g. CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

Lead Python Engineer

Palo Alto, CA

Lead Python Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud AI data and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title Lead Python Engineer Location 100% Remote (U.S.) Position Type Full-time Direct W2 Salary Range $750000–$95000 Annually Experience Required 6+ years Sponsorship U.S. Citizens Green Card Holders EAD Holders and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Lead Python Engineer to design build and continuously enhance complex enterprise-grade applications data-intensive services and automation platforms. This is a hands-on engineering role focused on delivering robust secure and high-performance Python systems that operate reliably within distributed and mission-critical production environments. The ideal candidate will bring deep Python expertise combined with strong fundamentals in software architecture data engineering and operational support and will partner closely with product data and infrastructure teams to translate ambiguous business problems into well-engineered technical solutions. You will be expected to think beyond surface-level fixes identify root causes of complex issues and proactively raise the engineering bar across the team. Required Qualifications Bachelor’s degree in Computer Science Engineering or a related technical discipline Five or more years of applied Python development experience in enterprise-grade environments Strong experience building and maintaining large-scale production applications with significant uptime and reliability requirements Hands-on experience with relational database systems such as Oracle MS SQL Server PostgreSQL or Sybase including query tuning and schema design Strong understanding of the full software development lifecycle (SDLC) including requirements design build test release and ongoing support Proven hands-on experience across system design application development automated testing and operational support Strong working knowledge of data structures algorithms and computational efficiency with the ability to make sound design trade-offs Demonstrated experience debugging and maintaining complex enterprise-level applications in production Solid understanding of Agile methodologies CI/CD practices application resiliency patterns and secure coding standards Ability to manage multiple concurrent projects in dynamic fast-changing environments while keeping stakeholders well informed Strong written and verbal communication skills with experience collaborating with both technical and business teams Preferred Qualifications Strong shell scripting skills in UNIX/Linux environments and comfort working with command-line tooling Solid grounding in mathematical and statistical concepts and the ability to translate them into code Hands-on experience with the Python data and ML ecosystem including NumPy Pandas SciPy Scikit-Learn TensorFlow and PyTorch Working exposure to AWS cloud services and cloud-native storage technologies such as S3 RDS DynamoDB and Glue How to Apply Would you like to know more about this opportunity? For immediate consideration please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race color religion sex sexual orientation gender identity or expression national origin age genetic information disability veteran status or any other protected status as defined by applicable federal state or local laws. This commitment extends to all aspects of employment including recruitment hiring training compensation promotion transfer leaves of absence termination layoffs and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR decRQzDAm2

Senior AI/LLM Engineer (Python) - Remote

Cracow, Małopolskie, Poland

Senior AI/LLM Engineer (Python) - Remote Kake is a remote-first company and a people-first global community of senior engineers. Kake engineers are behind some of the world’s most innovative products (Brands you’ve heard!) from Fortune 500 to fast-growing companies. We believe it’s not where your table is but what you bring to the table that matters. Our community spans 45000+ engineers across 55+ countries join a culture where great people stay grow and thrive (and love eating kake!). Senior AI/LLM Engineers with strong Python experience skilled in designing building and productionizing LLM-powered applications and AI systems at scale. It's a great fit for people who enjoy working at the intersection of software engineering and applied AI and who take ownership from prototyping through production deployment. What you’ll build and own Design build and deploy LLM-powered features and applications using Python. Develop and maintain backend services and APIs (e.g. FastAPI) that expose AI/LLM capabilities to other systems. Build and optimize RAG pipelines including embeddings vector search and retrieval strategies. Design test and iterate on prompts agents and orchestration flows using frameworks such as LangChain LlamaIndex or similar. Integrate with LLM providers and APIs (e.g. OpenAI Anthropic open-source models) and manage tradeoffs around cost latency and quality. Evaluate model outputs systematically building tooling and metrics to test accuracy safety and regression across iterations. Work with containerized environments and data infrastructure (e.g. PostgreSQL Redis vector databases) to support reliable AI systems in production. Collaborate with cross-functional stakeholders to translate ambiguous product needs into technically sound AI solutions. Core Requirements Strong proficiency in Python and experience with FastAPI or similar backend frameworks. Experience working with LLM APIs (e.g. OpenAI Anthropic or similar) and frameworks such as LangChain or LlamaIndex. Experience with RAG architectures embeddings and vector databases (e.g. Pinecone Weaviate pgvector or similar). Hands-on experience with Docker and containerized development environments. Experience working with PostgreSQL Redis or similar data stores. Strong experience writing functional and integration tests including evaluation frameworks for AI/LLM output quality. Excellent written and verbal communication skills in English. Ability to work independently in a remote fast-paced environment. Nice-to-Have Experience fine-tuning or evaluating open-source LLMs. Familiarity with prompt engineering best practices and agentic workflows. Experience with distributed systems streaming (e.g. Kafka) or large-scale applications. Background in machine learning fundamentals (e.g. scikit-learn PyTorch or TensorFlow). Comfortable working flexible hours to overlap with distributed teams across different time zones. Additional US Timezone Overlap 5h–6h daily PST Why Join Kake? The icing on the Kake 💰 Competitive Pay in USD Work globally get paid globally. 🌎 Fully Remote Simply put we trust you. 💜 Better Me Fund We invest in your personal growth and passions. 🎂 Compassion is Badass Join a community that invests in social good. Ready for your piece of the Kake? Apply now! Quick note Due to the high volume of applications only shortlisted candidates will be contacted.