Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Work Mode: Remote Base Location: Bengaluru Experience: 5+ Years Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Strong programming skills in Python and experience with ML frameworks. Proficiency in containerization (Docker) and orchestration (Kubernetes) technologies. Solid understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI, GitHub Actions). Knowledge of data engineering concepts and experience building data pipelines. Strong understandings on Computational, Storage and Orchestration resources on cloud platforms. Deploying and managing ML models especially on GCP (cloud platform agnostic though) services such as Cloud Run, Cloud Functions, and Vertex AI. Implementing MLOps best practices, including model version tracking, governance, and monitoring for performance degradation and drift. Creating and using benchmarks, metrics, and monitoring to measure and improve services Collaborating with data scientists and engineers to integrate ML workflows from onboarding to decommissioning. Experience with MLOps tools like Kubeflow, MLflow, and Data Version Control (DVC). Manage ML models on any of the following: AWS (SageMaker), Azure (Machine Learning), and GCP (Vertex AI). Tech Stack : Aws or GCP or Azure Experience. (More GCP Specific) must have done Py spark, Databricks is good. ML Experience, Docker and Kubernetes.