Lead ML Engineer – Cloud AI, MLOps & Agentic AI - AIRLHV
NavitasPartners
•Hybrid
About The Position
We are looking for a Lead ML Engineer to drive enterprise AI initiatives, focusing on MLOps, GenAI, and next-generation agentic AI systems in cloud environments.
Requirements
- Extensive experience in ML/AI engineering and MLOps
- Strong programming skills (Python, PyTorch)
- Experience with cloud platforms (AWS, Azure, GCP)
- Proven experience in deploying scalable AI solutions
Nice To Haves
- Experience with agentic AI and GenAI frameworks (LangChain, LLM ecosystems)
- Exposure to data engineering tools (Databricks, Snowflake, BigQuery, Synapse)
- Familiarity with AI governance, compliance, and ethical AI frameworks
- Collaboration with cloud/data platform architects in enterprise environments
Responsibilities
- Lead design and deployment of ML and GenAI solutions
- Build scalable MLOps pipelines and automation frameworks
- Collaborate with architects and engineering teams to deliver AI solutions
- Ensure governance, compliance, and responsible AI practices
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
1-10 employees
