Role & responsibilities

- Troubleshoot AI/ML model, pipeline, and production issues.

- Support Vertex AI, GCP, APIs, and ML application integrations.

- Monitor model performance, data quality, and model drift.

- Analyze logs, identify root causes, and resolve technical incidents.

- Assist customers with environment setup, deployment, and configuration.

- Debug inference failures, API errors, and pipeline execution issues.

- Document known issues, best practices, and technical solutions.

- Collaborate with Engineering and DevOps teams for bug resolution.

- Manage SLA adherence and provide high-quality technical support.

- Communicate complex AI/ML concepts effectively to customers and stakeholders.

- Support 24x7 operations through rotational shifts.

- Gather customer feedback and drive continuous product improvement.

Preferred candidate profile

- 6-8 years of experience in AI/ML Support, Technical Support, Cloud Support, or MLOps environments.

- Strong hands-on experience with Python, SQL,



Machine Learning, and AI/ML concepts.

- Experience working with GCP services including Vertex AI, Compute Engine, Storage, and IAM.

- Good understanding of MLOps, model deployment, monitoring, and troubleshooting.

- Exposure to TensorFlow, PyTorch, Docker, Kubernetes, GPU/TPU environments, and REST APIs.

- Ability to analyze logs, perform root cause analysis, and resolve complex technical issues.

- Experience supporting AI/ML applications, Conversational AI, or Generative AI solutions.

- Robust customer-facing communication and stakeholder management skills.

- Ability to work in a fast-paced 24x7 support environment with rotational shifts.

- Cloud certifications in GCP will be an added advantage.

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field preferred.

📌 AI/ML Support Engineer | GCP | Vertex AI | Python | ML Ops (Tech suppo (Chennai)
🏢 Tata Consultancy Services
📍 Chennai