Tata Consultancy Services
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Chennai · On-site · 6-9 Yrs · 4 days ago
Software Development · 10000+ Employees · Mumbai, India
Hiring: Engineering
What employees say
+ Good work life balance and nice work environment.
− Low hike not more than 7%
More reviews on the company profile.
Interview experience · Data Analyst
2 rounds. 1st round technical power bi and sql like cumulative total. What data sources you used. few scenario based questions, remove duplicate in sql. Optimization of slow performing report
Average difficulty · India · 22,544 reports
More interview insightsJob description
Overview
Role & responsibilities
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.
- 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.
Qualifications
- 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.
- Strong 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.
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Job application FAQ
Last updated 18 September 2026
- How do I apply for AI/ML Support Engineer | GCP | Vertex AI | Python | ML Ops (Tech suppo at Tata Consultancy Services?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tata Consultancy Services may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI/ML Support Engineer | GCP | Vertex AI | Python | ML Ops (Tech suppo role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI/ML Support Engineer | GCP | Vertex AI | Python | ML Ops (Tech suppo remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this AI/ML Support Engineer | GCP | Vertex AI | Python | ML Ops (Tech suppo role at Tata Consultancy Services?
- This is a mid-level AI/ML Support Engineer | GCP | Vertex AI | Python | ML Ops (Tech suppo role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.