Skip to content
mimi

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

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free