search Browse Jobs
Walk-in || ML Ops DeveloperTata Consultancy Services · Hyderabad
Tata Consultancy Services logo

Tata Consultancy Services

company page ↗

Walk-in || ML Ops Developer

🗓️ Posted 2026-09-08 Hyderabad Full-time Hybrid ICT
💰 Salary Not shared 📊 Market ₹41,667–₹100,000/mo

About the Company

TCS AI is driving the vision of becoming the worlds largest AI-led technology services company, helping enterprises transform across the entire AI stackfrom infrastructure to intelligence. With an action-oriented approach that goes beyond experimentation, TCS combines enterprise-grade AI platforms, model engineering, and human-centred design to deliver measurable business impact. At the heart of this transformation is data, enabling organisations to modernise their data ecosystems and infuse AI across customer value chains. For TCS, AI is not just a technology It is the foundation of the next economy.

Responsibilities

  • ● Design and implement CI/CD (and CT/continuous training) pipelines for ML workflows, including testing, promotion, rollback, and reproducible builds.
  • ● Monitor and observe ML systems for service, data, and model health tracking, drift checks (feature/target/concept), alerts/triggers, and root-cause analysis.
  • ● Deploy and run ML workloads on cloud platforms (AWS/Azure/GCP) using managed services and cloud native components (e.g., GKE, BigQuery, Cloud Storage, Vertex AI capabilities).
  • ● Collaborate functionally with data scientists, engineers, and platform teams to productionize models following best practices for repeatability, standardization, and operational efficiency.

Requirements

  • ● Strong knowledge of MLOps principles and the end-to-end ML lifecycle: data preparation, training, validation, deployment/serving, monitoring/refresh pipelines.
  • ● Hands-on experience with containerization and orchestration (e.g., Docker/Kubernetes) and ML pipeline tooling such as MLflow/Kubeflow or equivalent.
  • ● 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).
  • ● Cross security, governance, and access controls: authentication/authorization, encryption, policy/guardrails, and compliance-focused logging/traceability for production ML.
  • ● Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
  • ● Any full-time graduation qualification.
  • ● 15 years of full-time education.
  • ● Good communication and interpersonal skills.
  • ● Strong verbal and written communication skills.
  • ● Willingness to work in a collaborative and dynamic environment.
  • ● Relevant experience of 4-15 years as per job requirements.