Lead ML Engineer Cloud AIMLOps& Agentic AI
Location:US / Canada (Remote/Hybrid)
Type:Contract / Full-Time
Overview:
We are looking for a Lead ML Engineer to drive enterprise AI initiatives focusing onMLOps GenAI and next-generation agentic AI systems in cloud environments.
Key Responsibilities:
- Lead design and deployment of ML and GenAI solutions
- Build scalableMLOpspipelines 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 andMLOps
- Strong programming skills (PythonPyTorch)
- 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 SnowflakeBigQuery Synapse)
- Familiarity with AI governance compliance and ethical AI frameworks
- Collaboration with cloud/data platform architects in enterprise environments
For more details reach at
Required Experience:
Unclear Seniority
Lead ML Engineer Cloud AIMLOps& Agentic AILocation:US / Canada (Remote/Hybrid)Type:Contract / Full-TimeOverview:We are looking for a Lead ML Engineer to drive enterprise AI initiatives focusing onMLOps GenAI and next-generation agentic AI systems in cloud environments.Key Responsibilities:Lead desi...
Lead ML Engineer Cloud AIMLOps& Agentic AI
Location:US / Canada (Remote/Hybrid)
Type:Contract / Full-Time
Overview:
We are looking for a Lead ML Engineer to drive enterprise AI initiatives focusing onMLOps GenAI and next-generation agentic AI systems in cloud environments.
Key Responsibilities:
- Lead design and deployment of ML and GenAI solutions
- Build scalableMLOpspipelines 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 andMLOps
- Strong programming skills (PythonPyTorch)
- 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 SnowflakeBigQuery Synapse)
- Familiarity with AI governance compliance and ethical AI frameworks
- Collaboration with cloud/data platform architects in enterprise environments
For more details reach at
Required Experience:
Unclear Seniority
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