AI Coach & Technical Mentor Role Overview Metric5 is seeking an AI Enablement Consultant to coach and mentor federal employees in the practical application of traditional and generative AI. This role combines deep technical expertise with strong communication and instructional skills to guide agency teams in integrating AI capabilities into their existing large-scale data infrastructure aiming to reduce fraud waste and abuse. Rather than building solutions directly the consultant will leverage their technical expertise along with strong relationship skills to build rapport and trust with federal technical leadership and enhance their knowledge confidence and independence in managing generative AI products and workflows. Success will be measured by the uplift in the federal team's understanding skills and applied outcomes. How This Role Differs from Typical AI Roles This role is not focused on building generative AI solutions for the agency—it’s about building the agency’s internal capacity to do it themselves. Unlike traditional AI roles that prioritize model development or product delivery this position centers on coaching and mentorship helping federal employees understand apply and manage traditional and generative AI within their agency’s context. Success is measured by the knowledge uplift and practical confidence of the federal employees. It blends deep technical expertise with a strong human-centered instructional skill set—rare in most AI job descriptions. AI Expertise (Practical & Applied) + Practical experience using AI models to solve use cases in fraud detection or management. + Deep understanding of traditional AI aand GenAI models frameworks and other techniques and methodologies with an emphasis on feasibility and scalability. + Experience coding fine-tuning and deploying GenAI models (PyTorch TensorFlow Transformers LangChain MLOps and LLMOps) + Experience delivering and deploying GenAI models in a large enterprise setting + Knowledge of responsible AI development and ethical use Coaching & Mentorship Expertise + Demonstrated success in coaching technical teams and individuals + Skilled in designing and delivering practical hands-on learning + Adapts approaches based on skill gaps learning styles and team progress + Practices active listening empathy patience and persistent support + Assist stakeholders in understanding the potential and limitations of AI when planning designing and implementing new products or applications. Federal Environment & Consulting Context Acumen + Experience navigating federal IT compliance and data policies + Skilled in managing client relationships and structured consulting engagements + Ability to align AI work with procurement and organizational dynamics + Understanding of data lake architecture and its implications for generative AI integration + Ability to advise on AI/data alignment security and governance in federal data ecosystem Product Thinking & Use Case Strategy + Experience managing AI product lifecycle and use case development + Skilled at translating stakeholder needs into actionable GenAI solutions + Familiarity with validation prioritization and iterative design Professional & Consulting Execution Skills + Strong communicator across technical and non-technical audiences + Diagnoses technical/product issues and supports problem-solving + Takes initiative and provides support without heavy direction Education: Bachelors degree or equivalent experience required. Masters Degree or higher preferred. Salary Range: $125000 - $145000 annually Location: Remote within the United States. This role will require monthly travel to Baltimore MD Clearance: Must be able to obtain and maintain a federal Public Trust/Suitability which includes a requirement of U.S. residency for three out of the last 5 years About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart fun caring professionals and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package continuous professional development with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Our benefits include: Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401K with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

AI Coach & Technical Mentor Role Overview Metric5 is seeking an AI Enablement Consultant to coach and mentor federal employees in the practical application of traditional and generative AI. This role combines deep technical expertise with strong communication and instructional skills to guide agency teams in integrating AI capabilities into their existing large-scale data infrastructure aiming to reduce fraud waste and abuse. Rather than building solutions directly the consultant will leverage their technical expertise along with strong relationship skills to build rapport and trust with federal technical leadership and enhance their knowledge confidence and independence in managing generative AI products and workflows. Success will be measured by the uplift in the federal team's understanding skills and applied outcomes. How This Role Differs from Typical AI Roles This role is not focused on building generative AI solutions for the agency—it’s about building the agency’s internal capacity to do it themselves. Unlike traditional AI roles that prioritize model development or product delivery this position centers on coaching and mentorship helping federal employees understand apply and manage traditional and generative AI within their agency’s context. Success is measured by the knowledge uplift and practical confidence of the federal employees. It blends deep technical expertise with a strong human-centered instructional skill set—rare in most AI job descriptions. AI Expertise (Practical & Applied) + Practical experience using AI models to solve use cases in fraud detection or management. + Deep understanding of traditional AI aand GenAI models frameworks and other techniques and methodologies with an emphasis on feasibility and scalability. + Experience coding fine-tuning and deploying GenAI models (PyTorch TensorFlow Transformers LangChain MLOps and LLMOps) + Experience delivering and deploying GenAI models in a large enterprise setting + Knowledge of responsible AI development and ethical use Coaching & Mentorship Expertise + Demonstrated success in coaching technical teams and individuals + Skilled in designing and delivering practical hands-on learning + Adapts approaches based on skill gaps learning styles and team progress + Practices active listening empathy patience and persistent support + Assist stakeholders in understanding the potential and limitations of AI when planning designing and implementing new products or applications. Federal Environment & Consulting Context Acumen + Experience navigating federal IT compliance and data policies + Skilled in managing client relationships and structured consulting engagements + Ability to align AI work with procurement and organizational dynamics + Understanding of data lake architecture and its implications for generative AI integration + Ability to advise on AI/data alignment security and governance in federal data ecosystem Product Thinking & Use Case Strategy + Experience managing AI product lifecycle and use case development + Skilled at translating stakeholder needs into actionable GenAI solutions + Familiarity with validation prioritization and iterative design Professional & Consulting Execution Skills + Strong communicator across technical and non-technical audiences + Diagnoses technical/product issues and supports problem-solving + Takes initiative and provides support without heavy direction Education: Bachelors degree or equivalent experience required. Masters Degree or higher preferred. Salary Range: $125000 - $145000 annually Location: Remote within the United States. This role will require monthly travel to Baltimore MD Clearance: Must be able to obtain and maintain a federal Public Trust/Suitability which includes a requirement of U.S. residency for three out of the last 5 years About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart fun caring professionals and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package continuous professional development with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Our benefits include: Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401K with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

Senior Software Engineer Full-Time Position ($125-150k) Portland Oregon About Us Rapta is revolutionizing American manufacturing with our AI-powered vision systems. Our cutting-edge software platform helps expand manufacturing capacity 30% by reducing errors 90%+ and automating quality control and inspection processes. Position Overview We're seeking an experienced Senior Software Engineer to join our team in developing distributed cutting-edge applied AI systems. This is a full-time position working directly with our engineering team and CTO to drive technical innovation and mentor mid-level and junior engineers. What You'll Do Contribute to the architecture and development of production-grade distributed computer vision systems Drive research initiatives and experimental design to advance our AI servicing systems Build scalable data processing pipelines for training and validation Provide technical guidance to junior team members What We're Looking For 5+ years of professional experience developing computer vision systems Deep curiosity for all software and artificial intelligence related topics Expert-level Python programming and software architecture skills Strong system design and architecture skills Excellence in technical communication and documentation Required Technical Skills Expertise in prompt engineering and mature integration of modern AI-driven coding assistants in your development workflow Expertise in building scalable and distributed ML training and inference pipelines Experience with TensorFlow PyTorch or similar deep learning frameworks Proficiency with version control and CI/CD practices Experience with cloud infrastructure and distributed computing Nice to Have Previous experience in manufacturing industrial automation or quality control systems Understanding of industrial cameras sensors and imaging hardware Knowledge of manufacturing processes and quality standards (ISO Six Sigma) Experience with real-time processing and edge computing constraints Experience with computer vision libraries (OpenCV scikit-image) Why Join Us? Work with cutting-edge AI technology in a high-impact industry Competitive compensation and benefits package Professional development and learning opportunities Opportunity to shape manufacturing technology that impacts American industry Location Requirements We work remote but prefer candidates to be local in the Portland Oregon metro area Equal Opportunity Rapta is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer making decisions without regard to race color religion creed sex sexual orientation gender identity marital status national origin age veteran status disability or any other protected class. How to Apply No recruiters or agencies - we only accept applications directly from applicants. qTuLCZV6fQ

Overview: TISTA is seeking a highly skilled Resident Solutions Architect (RSA) to provide advanced technical expertise and guidance in support of our Data and Artificial Intelligence (AI) initiatives. The RSA will play a critical role in shaping and executing modern cloud-native architectures ensuring secure scalable and innovative solutions that align with mission and enterprise requirements. TISTA associates enjoy above Industry Healthcare Benefits Remote Working Options Paid Time Off Training/Certification opportunities Healthcare Savings Account & Flexible Savings Account Paid Life Insurance Short-term & Long-term Disability 401K Match Tuition Reimbursement Employee Assistance Program Paid Holidays Military Leave and much more! Responsibilities: Design and implement end-to-end architectures on Databricks Spark and Delta Lake supporting large-scale ingestion ELT and advanced analytics. Architect medallion (Bronze Silver Gold) data lakehouse patterns with batch and real-time pipelines. Enable ML/AI capabilities using MLflow TensorFlow PyTorch and other libraries within collaborative workspaces. Define and enforce security standards including RBAC SCIM SAML SSO and secrets management. Ensure compliance with security requirements while deploying in customer-controlled VPCs. Integrate BI tools (Tableau Power BI etc.) and ensure interoperability across ecosystems. Provide technical leadership documentation and mentorship to engineering and data science teams. Partner with stakeholders to translate requirements into scalable and secure solutions. Qualifications: Bachelor’s degree in Computer Science Engineering or related field. 8+ years of experience in solutions architecture data engineering or related roles. Strong expertise in Databricks Apache Spark and Delta Lake. Proven experience designing secure cloud-native architectures (AWS Azure or GCP). Hands-on experience with SQL Python R or Scala in data/analytics contexts. Deep understanding of ACID transactions data versioning and point-in-time querying Practical experience with AI/ML model development deployment or integration. Experience with data governance security controls and RBAC using Unity Catalog. Strong communication skills with the ability to engage both technical and business stakeholders. Preferred Qualifications: Master’s degree in a technical discipline. Or Bachelors with 10+ years of experience Experience supporting large-scale federal or healthcare data platforms. Familiarity with ML/AI tools (MLflow TensorFlow PyTorch XGBoost). Knowledge of CI/CD pipelines GitHub integration and DevOps best practices. Experience with BI and visualization tools (Power BI Tableau MicroStrategy Qlik). Databricks certification (e.g. Databricks Certified Solutions Architect Databricks Certified Data Engineer). Relevant cloud certifications (AWS Solutions Architect Azure Solutions Architect Databricks Certified Architect). Location: Remote (U.S. Based) Clearance Requirement: Must be a U.S. Citizen or Green Card holder and able to obtain a Public Trust clearance Employment Type: Full-time/Contract Pay Range: The pay for this position ranges from $140730 to $180500. The actual salary offer will carefully consider a wide range of factors including your skills qualifications experience and location. Also certain positions are eligible for additional forms of compensation such as bonuses. TISTA associates are eligible to participate in our comprehensive benefits plan! More information can be found here: https://tistatech.com/working-at-tista/

Company Description When you join Turnitin you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years Turnitin has partnered with educational institutions to promote honesty consistency and fairness across all subject areas and assessment types. Over 21000 academic institutions publishers and corporations use our services: Feedback Studio Originality Gradescope ExamSoft Similarity and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States Mexico United Kingdom Australia Japan India and the Philippines. Turnitin LLC is an equal opportunity employer- vets/disabled. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious helpful and independent scientists and engineers united by a commitment to deliver cutting-edge well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system gives automated feedback on student writing investigates authorship of student writing revolutionizes the creation and grading of assessments and plays a critical role in many back-end processes. Responsibilities and Requirements We’re an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures loss functions training methods training loops etc. You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we leverage ready-made training platforms we also write our own training loops. Additionally the models need to be directly deployable in our products therefore production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next the models must perform well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration generation (synthetic) design construction and analysis are a routine part of the job and may occupy a significant fraction of your time. Also datasets can be large (billions of samples) therefore the ability to write parallel and efficient pipelines is a necessary skill. You will also be involved in code & model maintenance code hardening (preparing the model and code for production pipelines) developing and staging demos and presenting your work within the company as well as via publications in peer reviewed venues (preferably A/A+ rated). Day-to-day your responsibilities are to: Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage. Work with colleagues in the AI team other Engineering teams subject matter experts Product Management Marketing Sales and Customer support to explore ongoing product issues challenges and opportunities and then recommend innovative ML/AI based solutions. Help out with ad-hoc one-off tasks as a team player within the AI team. Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality. Investigate weaknesses of models in production and work on pragmatic solutions. Utilize adopt and fine-tune off the shelf models including LLMs exposed via API (through prompt engineering and agents) and locally hosting LMs and other foundation models. Stay current in the field - read research papers experiment with new architectures and LLMs and share your findings. Write clean efficient and modular code with automated tests and appropriate documentation. Stay up to date with technology and platforms make good technological choices and be able to explain them to the organization. Work with downstream teams to productionize your work and ensure that it makes into a product release. Communicate insights as well as the behavior and limitations of models to peers subject matter experts and product owners. Present and publish your work. Qualifications Required Qualifications: Master's degree or PhD in Computer Science Electrical Engineering AI Machine Learning applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning Computer Science and Software Engineering. At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML) Computer Science and Software Engineering. A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite. Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS ICML ICLR AAAI TMLR JMLR IJCAI ICANN KDD ACL EMNLP NAACL COLING CVPR ICCV ECCV IEEE etc. Machine / Deep Learning development skills including popular platforms (we use AWS SageMaker Hugging Face Transformers PyTorch PyTorch Lightning Ray scikit-learn Jupyter Weights & Biases etc.). An understanding of Language Models using and training / fine-tuning and a familiarity with industry-standard LM families. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: We’re an applied science group therefore Software development proficiency is a requirement. Experience working with text data to build Deep Learning and ML models both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A Computer Science educational background is preferred as opposed to statistics or pure mathematics. Familiarity in building front-ends (Gradio Streamlit Dash or more standard React Javascript Flask) for simple demos POCs and prototypes. Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM using industry accepted platforms. Showcase previous work (e.g. via a website presentation open source code). Familiarity in coding for at-scale production ranging from best practices to building back-end API services or stand-alone libraries. Essential dev-ops skills (we use Docker AWS EC2/Batch/Lambda). Additional Information The expected annual base salary range for this position is: $111000/year to $185000/year. This position is bonus eligible / commission-based. As a Remote-First company actual compensation will be provided in writing at the time of offer if extended and is determined by work location and a range of other relevant factors including but not limited to: experience skills degrees licensures certifications and other job-related factors. Internal equity market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education and thriving in an organization that is free of politics and full of humble inclusive and collaborative teammates the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do. Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so. Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products the way we treat each other and how we work with our customers and vendors. Action & Ownership - We have a bias toward action and empower teammates to make decisions. One Team - We strive to break down silos collaborate effectively and celebrate each other’s successes. Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education. Global Benefits Remote First Culture Health Care Coverage Education Reimbursement Competitive Paid Time Off 4 Self-Care Days per year National Holidays 2 Founder Days + Juneteenth Observed Paid Volunteer Time Charitable contribution match Monthly Wellness or Home Office Reimbursement Access to Modern Health (mental health platform) Parental Leave Retirement Plan with match/contribution varies by country Seeing Beyond the Job Ad At Turnitin we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us join our team! Turnitin LLC is committed to the policy that all persons have equal access to its programs facilities and employment. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

Job Summary: We are expanding our team of motivated technologists to build AI and ML solutions for our customer. Specifically looking for an ML Engineer who is passionate about helping customers build Data Science and AI/ML solutions at scale. Your insight and expertise will help our delivery teams build ML solutions and build solutions across Data Science Machine learning Generative AI databases security and automation. In addition you will work with mid-tier technologies that include application integration security and much more! This position is ideal for candidates with a strong foundation in machine learning principles data processing and software engineering. You will support the design development and deployment of ML models and pipelines as well as assist in ingesting and transforming data for machine learning use cases. Work Location: Remote ### Key Responsibilities: + Assist in developing training and validating machine learning models for real-world applications (e.g. classification prediction and recommendation systems). + Build and maintain data ingestion pipelines from structured and unstructured sources using Python and SQL-based tools + Perform data cleaning normalization and feature engineering to prepare high-quality datasets for ML training and evaluation. + Collaborate on ML projects such as outcome prediction systems image classification models and intelligent search interfaces. + Contribute to building interactive applications by integrating ML models into frontend/backend systems (e.g. React Django REST APIs). + Participate in MLOps workflows including model versioning basic deployment tasks and experiment tracking. + Document data flows ML experiments and application logic consistently. + Attend Agile meetings and collaborate with peers through code reviews and sprint activities. ### Required Qualifications: + Bachelor’s degree in Computer Science Data Science Statistics Engineering or a related field. + Experience in machine learning data engineering or software development roles (internships or academic projects acceptable). + Solid understanding of supervised learning classification and data preprocessing techniques. + Experience with data engineering concepts including SQL PostgreSQL and REST API integration + Basic knowledge of data ingestion and transformation concepts. + Proficiency in Python and common ML libraries (e.g. scikit-learn pandas NumPy TensorFlow or PyTorch). + Familiarity with full-stack or web-based ML applications (e.g. React Django or Android Studio projects). + Familiarity with SQL and data wrangling tools. + Experience with version control tools like Git. + Strong problem-solving skills and attention to detail. + Effective communication and documentation skills. + Enthusiasm for learning new tools and growing within a collaborative team environment ### Preferred Qualifications: + Exposure to cloud platforms such as AWS GCP or Azure. + Experience with pyton Spark Airflow or data pipeline frameworks. + Understanding of basic data architecture concepts (e.g. data lakes warehouses). + Participation in ML/DS projects hackathons or Kaggle competitions. ### Sponsorship + This role is not sponsorship eligible + Candidates need to be legally allowed to work in the US for any employer The following information is required by pay transparency legislation in the following states: CA CO HI NY and WA. This information applies only to individuals working in these states. The anticipated pay range for Colorado is: $ 69900 - $102520 The anticipated starting pay range for California New York City and Washington is: $ 81500 - 119460 Based on eligibility compensation for the role may include variable compensation in the form of bonus commissions or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set level of experience licenses and certifications and specific work location. Information on benefits offered is here. About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges designing solutions that scale building and managing those solutions and optimizing returns into the future. Named a best place to work year after year according to Fortune Forbes and Glassdoor we attract and develop world-class talent. Join us on our mission to embrace technology empower customers and deliver the future. More on Rackspace Technology Though we’re all different Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age color disability gender reassignment or identity or expression genetic information marital or civil partner status pregnancy or maternity status military or veteran status nationality ethnic or national origin race religion or belief sexual orientation or any legally protected characteristic. If you have a disability or special need that requires accommodation please let us know. #LI-RL1 #US-Remote

Company Overview Pantheon Data (a Kenific Holding company) is a private small business based in the Washington DC area. Pantheon Data was founded in 2011 initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years including infrastructure resiliency contact center operations information technology software engineering program management strategic communications engineering and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS) the Department of Defense (DoD) and other Federal Civilian Agencies. Position Overview Pantheon Data is seeking a Senior AI/ML Engineer to join our team supporting a U.S. Navy digital transformation project. The ideal candidate will have deep technical expertise in developing training and deploying machine learning models to solve complex problems in engineering and logistics domains. This role requires hands-on technical work as well as collaboration with product manager data engineers and Navy stakeholders to ensure solutions align with mission needs and operate effectively within DoD environments. Responsibilities Develop and deploy AI models and algorithms on Azure or AWS platforms to deliver scalable and reliable AI solutions. Collaborate with program managers and other team members to understand business requirements and translate them into technical specifications and AI solutions. Design build and optimize AI pipelines data ingestion preprocessing model training and deployment workflows on cloud platform. Conduct research and stay up to date with the latest AI technologies frameworks and tools offered by Azure and AWS. Evaluate and recommend the most suitable AI services based on project requirements and constraints. - Implement and optimize distributed computing and parallel processing techniques to handle large-scale datasets and high-performance AI models. Ensure security privacy and compliance of AI solutions by following best practices and cloud platform guidelines. Collaborate with DevOps/MLOps teams to automate the deployment scaling and monitoring of AI applications on Azure or AWS. Required Skills and Experience A Bachelor of Science (BS) degree in Information Technology Cybersecurity Data Science Information Systems or Computer Science from an ABET accredited or CAE designated institution. Security+ Certification Experience in cloud infrastructure development: AWS and Azure. Experience in one or more of the ML model development libraries: TensorFlow PyTorch scikit-learn etc. Experience with Terraform and Docker is a plus. Strong experience with NoSQL Python and basic Linux. 6+ years professional hands-on experience in an AI/ML engineering role. Excellent communication skills with the ability to interact clearly and succinctly in written and oral presentations. Detail-oriented self-motivated and organized. Ability to work effectively remotely in cross-functional teams. Ability to meet deadlines and produce quality work. Proficient in Microsoft Suite software including Outlook Word Excel SharePoint and PowerPoint. Preferred Skills and Experience Working knowledge of Agile Scrum methodology. AWS (Amazon Web Services) and/or Microsoft Azure. Certification(s) a plus. Experience using big data technologies (Hadoop Hive HBase Spark EMR etc.) SQL relational and non-relational databases. Demonstrated experience with ML Flow and Databricks. Demonstrated experience using AI for software development (Vibe Coding) Experience with unit testing/integration testing is a plus. Experience developing code within a government hosted environment. Clearance Requirements U.S. Citizenship with the ability to obtain and maintain a DoD Secret clearance. Work Location: United States - Remote Our company prioritizes the benefits of flexibility and collaboration whether that happens in person or remotely. If the position is remote or hybrid you may periodically work from a Pantheon Data office location or client site. If this position is assigned to a Pantheon Data office location or client site you'll work with colleagues and clients in person as needed for specific client requirements. Compensation The salary range for this position is $140000 - $180000. This is not however a guarantee of compensation or salary. Rather salary will be set based on experience geographic location and possibly contractual requirements and could fall outside of this range. Benefits Overview We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity.In addition to our benefits we also offer SmartBenefits through the Washington Metro Area Transportation Authority where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/ Pantheon Data Important Information All qualified applicants will be considered for employment without regard to disability status as a protected veteran or any other status protected by applicable federal state local or international law. As part of the application process you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. If you require reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employee selection process please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020. This company uses E-Verify to confirm each employee's work authorization. For more information click here E-Verify Participation Poster

At LeoTech we are passionate about building software that solves real-world problems in the Public Safety sector. Our software has been used to help the fight against continuing criminal enterprises drug trafficking organizations identifying financial fraud disrupting sex and human trafficking rings and focusing on mental health matters to name a few. As an AI/NLP Engineer on our Data Science team you will be at the forefront of leveraging Large Language Models (LLMs) and cutting-edge AI techniques to create transformative solutions for public safety and intelligence workflows. You will apply your expertise in LLMs Retrieval-Augmented Generation (RAG) semantic search Agentic AI GraphRAG and other advanced AI solutions to develop enhance and deploy robust features that enable real-time decision-making for our end users. You will work closely with product engineering and data science teams to translate real-world problems into scalable production-grade solutions. This is an individual contributor (IC) role that emphasizes technical depth experimentation and hands-on engineering. You will participate in all phases of the AI solution lifecycle from architecture and design through prototyping implementation evaluation productionization and continuous improvement. ### Core Responsibilities Design build and optimize AI-powered solutions using LLMs RAG pipelines semantic search GraphRAG and Agentic AI architectures. Implement and experiment with the latest advancements in large-scale language modeling including prompt engineering model fine-tuning evaluation and monitoring. Collaborate with product backend and data engineering teams to define requirements break down complex problems and deliver high-impact features aligned with business objectives. Inform robust data ingestion and retrieval pipelines that power real-time and batch AI applications using open-source and proprietary tools. Integrate external data sources (e.g. knowledge graphs internal databases third-party APIs) to enhance the context-awareness and capabilities of LLM-based workflows. Evaluate and implement best practices for prompt design model alignment safety and guardrails for responsible AI deployment. Stay on top of emerging AI research and contribute to internal knowledge-sharing tech talks and proof-of-concept projects. Author clean well-documented and testable code participate in peer code reviews and engineering design discussions. Proactively identify bottlenecks and propose solutions to improve system scalability efficiency and reliability. ### What We Value Bachelor's or Master's degree in Computer Science Artificial Intelligence Data Science or a related field. 5+ years of hands-on experience in applied AI NLP or ML engineering (with at least 2 years working directly with LLMs RAG semantic search and Agentic AI). Deep familiarity with LLMs (e.g. OpenAI Claude Gemini) prompt engineering and responsible deployment in production settings. Experience designing building and optimizing RAG pipelines semantic search vector databases (e.g. ElasticSearch Pinecone) and Agentic or multi-agent AI workflows in in large scale production setup. Exposure to MCP and A2A protocol is a plus. Exposure to GraphRAG or graph-based knowledge retrieval techniques is a strong plus. Strong proficiency with modern ML frameworks and libraries (e.g. LangChain LlamaIndex PyTorch HuggingFace Transformers). Ability to design APIs and scalable backend services with hands-on experience in Python. Experience building deploying and monitoring AI/ML workloads in cloud environments (AWS Azure) using services like AWS SageMaker AWS Bedrock AzureAI etc. Experience with tools to load balance different LLMs providers is a plus. Familiarity with MLOps practices CI/CD for AI model monitoring data versioning and continuous integration. Demonstrated ability to work with large complex datasets perform data cleaning feature engineering and develop scalable data pipelines. Excellent problem-solving collaboration and communication skills able to work effectively across remote and distributed teams. Proven record of shipping robust high-impact AI solutions ideally in fast-paced or regulated environments. ### Technologies We Use Cloud & AI Platforms: AWS (Bedrock SageMaker Lambda) AzureAI Pinecone ElasticCloud Imply Polaris. LLMs & NLP: HuggingFace OpenAI API LangChain LlamaIndex Cohere Anthropic. Backend: Python (primary) Elixir (other teams). Data Infrastructure: ElasticSearch Pinecone Weaviate Apache Kafka Airflow. Frontend: TypeScript React. DevOps & Automation: Terraform EKS GitHub Actions CodePipeline ArgoCD. Monitoring & Metrics: Grafana (metrics dashboards alerting) Langfuse (Agentic AI observability prompt management) Testing: Playwright for end-to-end test automation. Other Tools: Mix of open-source and proprietary frameworks tailored to complex real-world problems. ### What You Can Expect Enjoy great team camaraderie whether at our Irvine office or working remotely. Thrive on the fast pace and challenging problems to solve. Modern technologies and tools. Continuous learning environment. Opportunity to communicate and work with people of all technical levels in a team environment. Grow as you are given feedback and incorporate it into your work. Be part of a self-managing team that enjoys support and direction when required. 3 weeks of paid vacation – out the gate!! Competitive Salary. Generous medical dental and vision plans. Sick and paid holidays are offered. Work with talented and collaborative co-workers. LeoTech is an equal opportunity employer and does not discriminate on the basis of any legally protected status.

Job Description - This role is based remotely but if you live within a 50-mile radius of an office [Atlanta Austin Detroit Warren or Mountain View] you are expected to report to that location three times a week at minimum. The Role General Motors’ Marketing Applied Sciences (MAS) team is seeking a n experienced technical - oriented impact - delivering expert in Gen AI and machine learning with a strong ability to execute hands-on technical work. In this role you will be responsible for designing and building scalable reliable and high-performance AI/ML p roducts to support key business initiatives. As a S enior Machine Learning Engineer you will collaborate closely with product managers data engineers data scientists and other partners to develop state-of-the-art AI solutions that enable the future of marketing. This role sits within the Enterprise Data Analytics & Insights (EDAI) organization and plays a critical part in transforming GM’s data into actionable personalized experiences. Specific duties may include building and utilizing AI-Agent capabilit ies . M ulti-modality MLLM model evaluation fine-tuning deployment as well as bulk inference. Evaluate data quality and improve it. Provide cost estimation and analysis. Support data pipeline orchestration on distributed backend system. Success in this role requires a blend of technical aptitude marketing know-how and cross-functional collaboration. This role is ideal for someone who thrives at the intersection of data science and marketing strategy and who is eager to shape the future of customer experiences at one of the world’s most iconic automotive brands. What You'll Do Design build and deploy autonomous AI agents using LLMs and agentic architecture frameworks. Manage memory tools goals and execution environments. Build interfaces between agents internal data systems RAG pipelines and cloud-based services. Collaborate with internal teams and stakeholders to rapidly prototype and iterate on novel agent capabilities. Demonstrate software engineering (SWE) skills focusing on distributed backend development batch data processing. Experiment and learn the latest AI development. Elevate system design diagnostics and operational excellence to higher standards. Collaborate with cross-functional teams to integrate new features and technologies into the platform. Your Skills & Abilities (Required Qualifications) Bachelors or higher degree in Computer Science or equivalent major or equivalent experience. 5+ years professional s oftware engineerin g or machine learning engineering experience. 5 + years specialized experience in AI/ML infrastructure e.g. enabling distributed training for scaling large ML models. Strong programming skills in Python with proficiency in frameworks such as PyTorch ( preferred ). Experience building autonomous agents using frameworks like CrewAI Agno LangChain Agents Autogen. Deep understanding of LLM internals (prompting tokenization inference function calling). Experience integrating multiple data sources and orchestrating multi-step agent workflows. Familiarity with vector databases and search retrieval techniques. Experience with distributed computing GPU computing and cloud environments (AWS GCP Azure). Demonstrated ability to lead projects that bridge marketing data science and technology to drive measurable outcomes. Ability to simplify complex data strategies into actionable marketing solutions and communicate technical concepts to non-technical stakeholders. Strong collaborative mindset and experience working with cross-functional teams including marketers engineers data scientists and agency part ners. What Will Give You a Competitive Edge (preferred qualifications) Strong experience with Databricks for large-scale data engineering model training and serving in production environments. Proven ability to optimize ML workloads for performance and cost within Azure-based cloud architecture. 5+ year s of experience running AI/ML solutions in production including monitoring retraining and drift detection. Deep familiarity with MLflow ideally MLflow 3.0 including model tracking versioning and governance. Working knowledge of MLOps best practices including CI/CD for ML model registry usage and reproducible workflows. Deep understanding of marketing data ecosystems including online/offline data sources clean rooms onboarding solutions and ID resolution. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: The expected base compensation for this role is: $130800 - $211200. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance job level and individual performance. Benefits : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuition assistance programs employee assistance program GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g. H-1B OPT STEM OPT CPT TN J-1 etc.) #LI-CC1 &#xa&#xa About GM Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all. &#xa&#xa Why Join Us - We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team. &#xa&#xa Benefits Overview - From day one we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources . &#xa&#xa Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire . &#xa&#xa Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us or call us at 800-865-7580. In your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Overview: TISTA is seeking a highly skilled Resident Solutions Architect (RSA) to provide advanced technical expertise and guidance in support of our Data and Artificial Intelligence (AI) initiatives. The RSA will play a critical role in shaping and executing modern cloud-native architectures ensuring secure scalable and innovative solutions that align with mission and enterprise requirements. TISTA associates enjoy above Industry Healthcare Benefits Remote Working Options Paid Time Off Training/Certification opportunities Healthcare Savings Account & Flexible Savings Account Paid Life Insurance Short-term & Long-term Disability 401K Match Tuition Reimbursement Employee Assistance Program Paid Holidays Military Leave and much more! Responsibilities: Design and implement end-to-end architectures on Databricks Spark and Delta Lake supporting large-scale ingestion ELT and advanced analytics. Architect medallion (Bronze Silver Gold) data lakehouse patterns with batch and real-time pipelines. Enable ML/AI capabilities using MLflow TensorFlow PyTorch and other libraries within collaborative workspaces. Define and enforce security standards including RBAC SCIM SAML SSO and secrets management. Ensure compliance with security requirements while deploying in customer-controlled VPCs. Integrate BI tools (Tableau Power BI etc.) and ensure interoperability across ecosystems. Provide technical leadership documentation and mentorship to engineering and data science teams. Partner with stakeholders to translate requirements into scalable and secure solutions. Qualifications: Bachelor’s degree in Computer Science Engineering or related field. 8+ years of experience in solutions architecture data engineering or related roles. Strong expertise in Databricks Apache Spark and Delta Lake. Proven experience designing secure cloud-native architectures (AWS Azure or GCP). Hands-on experience with SQL Python R or Scala in data/analytics contexts. Deep understanding of ACID transactions data versioning and point-in-time querying Practical experience with AI/ML model development deployment or integration. Experience with data governance security controls and RBAC using Unity Catalog. Strong communication skills with the ability to engage both technical and business stakeholders. Preferred Qualifications: Master’s degree in a technical discipline. Or Bachelors with 10+ years of experience Experience supporting large-scale federal or healthcare data platforms. Familiarity with ML/AI tools (MLflow TensorFlow PyTorch XGBoost). Knowledge of CI/CD pipelines GitHub integration and DevOps best practices. Experience with BI and visualization tools (Power BI Tableau MicroStrategy Qlik). Databricks certification (e.g. Databricks Certified Solutions Architect Databricks Certified Data Engineer). Relevant cloud certifications (AWS Solutions Architect Azure Solutions Architect Databricks Certified Architect). Location: Remote (U.S. Based) Clearance Requirement: Must be a U.S. Citizen or Green Card holder and able to obtain a Public Trust clearance Employment Type: Full-time/Contract Pay Range: The pay for this position ranges from $140730 to $180500. The actual salary offer will carefully consider a wide range of factors including your skills qualifications experience and location. Also certain positions are eligible for additional forms of compensation such as bonuses. TISTA associates are eligible to participate in our comprehensive benefits plan! More information can be found here: https://tistatech.com/working-at-tista/