Senior AI/ML Engineer (Team Coach)

About Mind Moves Mind Moves is a women-owned Washington, D.C.-based firm helping businesses and governments to embrace, build and deploy ‘human in the loop’ AI solutions to elevate mission and value. We are pioneers with deep expertise in the field of machine learning and AI (both predictive and generative). We have delivered responsibly developed products and services that impact millions of users worldwide, while generating millions of dollars in revenue. We have worked with Fortune 500 corporations and large government entities in health care, supply chain management, financial services and life sciences. We apply a structured methodology and holistic approach to AI transformation and a broad spectrum of technical services centered in the harnessing of people, science and technology. What you’ll be doing Leading a group of cross-functional teams as they move their use cases from idea to shaping a use case to Minimum Viable Product (MVP). These teams will consist of various members from different institutes or centers of the National Institutes of Health and as such, propose use cases that are typically in the medical research or public health space, for internal or external audiences. Working with Mind Moves You’ll collaborate with client leads, business operators, other consultants, and the Mind Moves project team. Interface with world-renowned professionals, make a real difference for scientific discoveries with an opportunity to upskill with concrete experience in the AI space. You’ll be on the leading edge of new tech, in a creative space, shaping and steering future development in health and medicine. The contract will include: • Lead and mentor technical teams as they move use case concept through Proof of Concept (POC) to Minimum Viable Product (MVP) and toward scalable product deployment. • Contribute to project work, including code development and deployment as needed • Facilitate architectural design sessions and translate requirements into actionable engineering roadmaps, projects, sprints and tasks. • Oversee integration of data pipelines, APIs, and infrastructure to support advanced AI/ML use cases. • Conduct technical reviews and provide coaching to team members on code quality, scalability, and performance optimization. • Serve as a bridge between research, engineering, and client teams - ensuring alignment on goals, timelines, and deliverables. • Identify opportunities for innovation and compliance with federal agency standards. Contractor has the following skills/background: • 7+ years of professional experience in software engineering, data engineering, or machine learning engineering, with at least 3+ years in a technical leadership role. • Experience in leading/coaching 10+ fellow engineers to achieve project objectives • Demonstrated experience leading engineering teams from proof-of-concept through MVP and into production deployment. • Relevant experience in developing solutions using Generative AI technology stacks (including transformers, Large Language Models, agentic workflow and Multi-modal AI). • Deep proficiency in Python programming language and Python package ecosystems.. • Strong background in system design, distributed computing, and scalable cloud-native architecture (AWS, Azure, or GCP). • Hands-on experience with machine learning frameworks (PyTorch, SKLearn) and modern MLOps practices. • Expertise in data modeling, relational and non-relational databases (SQL, NoSQL), and data pipeline design. • Proficiency in version control and CI/CD pipelines (GitHub, GitLab, etc.). • Demonstrated experience designing, implementing, or integrating agentic AI workflows (e.g., multi-step reasoning, tool-calling, or task orchestration across systems) to automate complex business or research processes. • Familiarity with applying responsible AI principles to system design and deployment. • Strong understanding of the Software Development Lifecycle, agile/SCRUM, and DevOps practices. • Ability to conduct technical reviews, debug complex issues, manage projects/people, delegate tasks, and coach junior engineers. • Excellent communication skills and ability to translate technical concepts for non-technical stakeholders. • Degree in Computer Science, Engineering, or related field required; advanced degree preferred. • DC metro area preferred, East coast time zone required • Currently based in the US with full work authorization without sponsorship Proposal Details Compensation range: Proposals accepted from $85-105/hour Estimated hours each week/month: up to 120 hours/month Work locale: 100% remote in the EST required and DC metro area preferred Security: If selected, candidates will be required to complete a full background check. To apply: Please upload your resume and complete the short form.