MLOps _ ML Engineer

3 weeks ago


Hyderabad Chennai Bengaluru, India Zentek Infosoft Full time

Job Description Key Responsibilities: - Architect and implement scalable MLOps pipelines for model development, deployment, and monitoring - Lead end-to-end operationalization of ML models using AWS SageMaker and AWS ecosystem - Build and manage CI/CD pipelines for ML workflows using tools like GitHub Actions, Jenkins, or AWS CodePipeline - Automate key model lifecycle stages including training, version control, deployment, and rollback - Collaborate closely with data scientists, ML engineers, and DevOps for seamless model integration - Monitor live models for performance degradation, data drift, and reliability issues - Establish governance and best practices for reproducibility, security, and compliance in ML systems Required Skills: - 10+ years of experience in MLOps, ML engineering, or similar domains - Proven hands-on expertise with AWS SageMaker, Lambda, S3, CloudWatch, and other AWS services - Strong Python programming and experience with Docker, Kubernetes, and Terraform - Deep understanding of infrastructure-as-code and CI/CD tools - Familiarity with model monitoring frameworks such as Prometheus, Grafana, or Evidently - Solid grasp of ML algorithms, feature engineering, and production model deployment Preferred Qualifications: - AWS Certified Machine Learning Specialty or AWS DevOps Engineer certification - Knowledge of feature stores, model registries, and real-time inference platforms - Experience leading cross-functional AI/ML engineering teams


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