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.
- Solid 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)

📌 Walk-in || MLOPs Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru