REMOTE : MLOps Architect - Contract - Capgemini

[Shyam Dasari]

Please share me resume to Sh...@gacsol.com 

Role name: ML Ops Architect

Work Location: Chicago, US (Remote)

 

Client : Capgemini/ CGEMJP00312761

 

Role and responsibilities:

 

• Experience: At least 5 to 10+ years of experience in ML, data engineering, or systems architecture, with significant time spent on MLOps and ML engineering.
• Programming: Strong proficiency in Python is essential, with additional experience in languages like Java or Scala being beneficial.
• Cloud platforms: Deep knowledge of at least one major cloud platform (AWS, Azure, or GCP) and its relevant ML and data services, such as AWS SageMaker, Google Vertex AI, or Azure ML.
• MLOps and data tools: Expertise with tools for orchestrating and managing the ML lifecycle, including:
• MLflow, Kubeflow, or Domino for experiment tracking and model management.
• Docker and Kubernetes for containerization and orchestration.
• Soft skills: Strong communication, collaboration, and problem-solving skills are crucial for managing technical strategy and aligning with business goals.
• Experience in GPUs and created MLOps for simulation models.

Thanks, 

Shyam Dasari 

Sh...@gacsol.com