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

  Google Cloud Composer (Airflow)

  .
• 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

  Google Cloud Platform (GCP)

  , especially

  GKE

  ,

  Composer

  , and

  BigQuery

  .
• Strong understanding of

  MLOps practices

  and tools.
• Hands-on experience with

  Docker

  and container orchestration using

  Kubernetes

  .
• Experience with

  CI/CD tools

  (e.g., GitHub Actions, Jenkins, Cloud Build).
• Proficiency in

  API development

  using frameworks like

  Flask

  or

  FastAPI

  .
• Familiarity with version control systems (e.g., Git).