Lead Assistant Manager

Job Description : We are looking for a skilled and proactive Machine Learning Engineer with a strong foundation in Python and SQL, and hands-on experience with modern MLOps tools and practices. You will be responsible for building, deploying, and maintaining scalable machine learning solutions in production environments, leveraging cloud-native technologies and automation pipelines.

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).