As a Senior Data Scientist / Machine Learning Engineer, you will design, build, and operate end-to-end AI and machine learning solutions for the AMGS AI Team. You will work hands-on, primarily on Microsoft Azure, performing data analysis, training ML/DL models, and building AI applications, including LLM-powered solutions.
Requirements
- Strong experience in data science and machine learning in production environments
- Deep expertise in at least one ML domain (e.g. NLP, Computer Vision, Forecasting)
- Broad understanding of other ML domains and techniques
- Strong Python programming skills
- Experience training, evaluating, and improving ML/DL models
- GenAI & Modern AI Patterns: Hands-on experience with LLM-based applications, up-to-date knowledge of modern GenAI patterns (e.g. RAG, agents, prompt design)
- Cloud & Engineering: Experience developing AI solutions on Azure, ability and willingness to work with AWS as needed, solid software engineering fundamentals (modularity, testing, version control)
- Professional Experience: Proven experience delivering AI/ML solutions in real-world projects, experience working in cross-functional teams, experience in complex or enterprise environments
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Tuition Reimbursement