Walk-in || MLOPs Engineer

Job description

**TCS Walk-in Drive for MLOps Engineer !!!** **Date : 8th Aug (2nd sat)** **Time: 9AM - 1PM** Location: Bangalore/Hyderabad (Venue details will confirmed shortly) Required skills: . 2+ years in AI/Gen AI - Degree in computer science, artificial intelligence, or IT. - Strong knowledge of MLOps principles and the end-to-end ML lifecycle: data preparation training validation deployment/serving monitoring/refresh pipelines. - Design and implement CI/CD (and CT/continuous training) pipelines for ML workflows, including testing, promotion, rollback, and reproducible builds. - Hands-on with containerization and orchestration (e.g., Docker/Kubernetes) and ML pipeline tooling such as MLflow/Kubeflow (or equivalent). - Monitoring & observability for ML systems: service + data + model health tracking, drift checks (feature/target/concept), alerts/triggers, and root-cause analysis. - Cloud platform experience (AWS/Azure/GCP) to deploy and run ML workloads using managed services and cloud-native components (e.g., GKE, BigQuery, Cloud Storage, Vertex AI capabilities). - Security, governance, and access controls: authentication/authorization, encryption, policy/guardrails, and compliance-focused logging/traceability for production ML. - Cross-functional collaboration with data scientists, engineers, and platform teams to productionize models following best practices for repeatability, standardization, and operational efficiency. - Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras). **Things to carry for interview:** - **One copy of an updated resume (Hard Copy)** - **Government ID proof (Original and Xerox Copy both)** - **1 Passport size photo (Hard Copy)**