Battery Smart - Machine Learning Engineer - Python/Google Cloud Platform

Hiring :

Location :

Notice Period

What Youll Do

• Design and implement end-to-end machine learning pipelines.
• Develop and deploy ML models in Python; manage data workflows using SQL.
• Orchestrate workflows with Google Cloud Composer (Airflow).
• Containerize applications with Docker and deploy on Google Kubernetes Engine (GKE).
• Set up & maintain CI/CD pipelines for automated training and deployment.
• Develop and maintain RESTful APIs (Flask/FastAPI) to serve ML models.
• Collaborate with data scientists, engineers, and DevOps to ensure smooth integration & scalability.
  

Mandatory Skills

What Were Looking For

• 2 - 6 years of experience as a Machine Learning Engineer.
• Strong skills in Python and SQL.
• Hands-on experience with Google Cloud Platform (BigQuery, Composer, GKE).
• Solid understanding of MLOps practices and tools.
• Experience with Docker & Kubernetes.
• Knowledge of CI/CD tools (GitHub Actions, Jenkins, Cloud Build).
• Proficiency in API development (Flask / FastAPI).
• Familiarity with Git and version control best practices.