3+ years of experience in MLOps, ML Engineering, or DevOps for machine learning. Experience with machine learning algorithms and model development process. Strong expertise in cloud platforms (AWS, Azure or GCP) for ML deployment. Strong knowledge of model monitoring tools (e.g., Evidently AI, MLflow). Hands-on experience with orchestration frameworks Familiarity with Pyspark and Databricks is a plus. Familiarity with infrastructure-as-code (Terraform, CloudFormation) is a plus. Able to effectively leverage AI-powered development tools (e.g., Cursor, Augment, Factory) to enhance productivity, code quality, and collaboration.