Sr. Director – AI
| Company | MetroStar |
|---|---|
| Location | Washington, DC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Expert or higher |
Requirements
- An active, government issued Top-Secret security clearance OR the ability to obtain.
- Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 10+ years of overall experience in AI, machine learning, and productionizing AI solutions.
- Expertise in Python and key libraries (e.g., NumPy, SciPy, Pydantic, Asyncio).
- Hands-on experience with open-source libraries (e.g. LangChain, Ray, PyTorch, Lightning).
- Hands-on experience with machine learning techniques, including Reinforcement Learning.
- Proficiency in AI/ML frameworks and libraries such as PyTorch, TensorFlow, and Hugging Face.
- Hands-on experience with cloud-native AI/ML services, including building Kubernetes-based architectures, deploying scalable MLOps pipelines, and managing data lakehouses (e.g. Delta Lake).
- Knowledge of advanced algorithms such as foundation models (LLMs, diffusion models, etc.).
- Proven track record of building and operationalizing AI models, particularly in Generative AI and Computer Vision.
- Experience designing and building autonomous AI agents and workflows that can operate without continuous human intervention (e.g. agentic systems, Reinforcement Learning).
- Experience in AI and/or SaaS product management, including defining product roadmaps, gathering user requirements, and ensuring models meet business objectives.
- Proven ability to lead small agile teams and mentor junior developers.
- Strong written and verbal communication skills, including proposal writing and presenting to technical and non-technical stakeholders.
- Experience working with government contracting, compliance requirements, and the ability to navigate complex regulatory environments.
- Ability to define and measure key performance indicators (KPIs) for AI projects.
- Experience developing go-to-market strategies for AI products and solutions in collaboration with business leadership.
Responsibilities
- Design, build, and deploy AI models, ensuring they are scalable, secure, and aligned with business needs.
- Lead the AI product lifecycle, from ideation to deployment, ensuring continuous improvement and measurable business impact.
- Code and troubleshoot solutions while mentoring junior staff.
- Collaborate with internal teams, external partners, and government stakeholders to align AI initiatives with go-to-market strategies, ethical AI practices, and regulatory requirements.
- Drive innovation, ensure AI solutions are impactful, and represent MetroStar at industry events and client meetings to maintain thought leadership in the AI space.
Preferred Qualifications
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No preferred qualifications provided.