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Lead ML Engineer – Cloud AI, MLOps & Agentic AI
NavitasPartners
Lethbridge · flexible Contract Lead 3w ago
About the role
Overview:
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.
Key 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
Required Skills:
- 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 Have / Coverage:
- 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
For more details reach at resumes@navitassols.com.
Skills
AWSAzureGCPGenAILangChainLLMMLOpsPythonPyTorch
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