Required Qualifications
- Bachelor’s orMaster’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 2+ years of experience with Python and ML frameworks such asPyTorchor TensorFlow.
- Hands-on experience with training or fine-tuning LLMs or multimodal models.
- Familiarity with production ML systems and concepts like model serving, caching, batching, and monitoring.
- Understanding of distributed systems and cloud-based infrastructure.
Preferred Qualifications
- Experience with containerization tools (e.g., Docker, Kubernetes).
- Exposure toMLOpsor DevOps practices (CI/CD, automated testing, deployment).
- Interestin generative AI and open-source model ecosystems.
- Ability to work in a fast-paced, collaborative environment with a growth mindset.
- Strong communicationand documentation skills.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.