Machine Learning Engineer with an Agentic Focus
RemoteMumbai, Maharashtra, India or IN
Mumbai, Maharashtra, India or INRemoteFull TimeMid LevelSmall
Full TimeMid LevelSmall
Job Summary
Design, develop, and deploy machine learning models using tools like LangGraph and MLflow. Collaborate on building scalable data and feature pipelines for real time and batch processing with BigQuery, Dataflow, and other GCP services. Develop strategies for model monitoring with Vertex AI Model Monitoring, and optimize ML model performance. Ensure reliability and scalability of ML models and data infrastructure, troubleshoot issues, and comply with data governance and security requirements.
Required Qualifications
- 1+ years of experience as an ML Engineer
- Strong experience in Google Cloud Platform (GCP)
- Solid grasp of containerization (Docker, Kubernetes)
- Experience building and deploying scalable data pipelines and machine learning models
- Understanding of model monitoring, logging, and observability best practices
- Experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Desired Qualifications
- Familiarity with AI orchestration concepts using tools like LangGraph or LangChain
- Bonus experience includes working in gaming, real-time fraud detection, or AI personalization systems and Agentic workflows
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