Lead Assistant Manager

Key Responsibilities:

• Design and implement end-to-end machine learning pipelines.
• Develop and deploy ML models using Python and manage data workflows using SQL.
• Build and orchestrate workflows using AWS.
• Containerize applications using Docker and deploy them on Google Kubernetes Engine (GKE).
• Set up and manage CI/CD pipelines for automated model training and deployment.
• Develop and maintain RESTful APIs to serve ML models in production.
• Collaborate with data scientists, data engineers, and DevOps teams to ensure seamless integration and scalability.
• Required Skills & Qualifications:
  • Proficiency in Python and SQL for data manipulation and model development.
  • Experience with AWS and data architect
  • Strong understanding of MLOps practices and tools.
  • Experience GitHub Actions, Jenkins, Cloud Build.
  • Proficiency in API development using frameworks like Flask or FastAPI.
  • Familiarity with version control systems (e.g., Git).