{"id":3577698,"url":"https://alion.io/job/tata-consultancy-services-technical-support-aiml","title":"Technical Support-AI/ML","company":{"id":222,"name":"Tata Consultancy Services","domain":"tcs.com","url":"https://alion.io/company/tata-consultancy-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":130,"ghost_share":0.008,"stale_share":0,"repost_share":0.031,"time_to_fill_p50_days":4,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Support","role_family":"Support","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8500,"max_usd":19000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":755},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"IAM","optional":false},{"name":"Interpretability","optional":false},{"name":"Kubernetes","optional":false},{"name":"LIME","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"SHAP","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TPU","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-31T22:56:51Z","employer_posted_date":"2026-10-31","last_verified_at":"2026-11-04T05:53:36Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Role: Support Executive. Skills: Artificial Intelligence, Machine Learning. Experience: 3 - 7 Years. Qualification: Undergraduate\nLocations :\nChennai/Indore/Gandhinagar (As per candidate preference)\nJob Requirements\n\"Minimum of 3+ years of hands-on experience working in a cloud environment, with strong proficiency in GCP services\nProficiency in Python/SQL, understanding of ML frameworks (PyTorch, TensorFlow), and data pre-processing logic.\nCore AI/ML Fundamentals knowledge\nMachine Learning Operations (MLOps)\nShould have good understanding about AI/ML Ecosystem Tools\nStrong understanding of GCP compute, storage, IAM, Vertex AI\nExposure in managing GPU/TPU environments\nDebugging & Support Skills\nAbility to analyze logs, trace errors, and troubleshoot\nKnowledge of working with different APIs\nIdentifying, resolving technical issues, and diagnosing the root cause of technical problems.\nProviding technical assistance to users, both internal and external, through various channels\nExperience working with Conversation Agents\nCommunicating technical information clearly and concisely to users and stakeholders\nSupport with 24x7 operations (Rotational Shifts)\nEnglish language (verbal and written) Proficiency is must\"\nRoles and Responsibilities\n\"1. Troubleshooting Model & Pipeline Issues\nThe core of the role is diagnosing technical failures within the ML lifecycle.\nAPI & Integration Support: Debugging RESTful API integrations between the client's application and the AI model.\nInference Failures: Investigating why a model is failing to provide predictions (e.g., timeout issues, memory overflows, or incorrect input data formatting).\nEnvironment Configuration: Assisting clients with setup issues related to Docker, Kubernetes, or cloud-specific ML environments (AWS SageMaker, Azure ML, etc.).\n2. Data & Performance Monitoring\nAI products are only as good as the data fed into them.\nData Quality Checks: Helping customers identify if their input data is the cause of poor model performance (e.g., missing values, incorrect data types, or schema mismatches).\nMonitoring Drift: Assisting in identifying Model Drift-where the AI’s performance degrades over time because real-world data has changed compared to the training data.\nAccuracy Inquiries: Explaining to customers why a model produced a specific result using interpretability tools (like SHAP or LIME) or logs.\n3. Product Education & Technical Documentation\nBecause AI is complex, the TSR serves as a technical teacher.\nKnowledge Base Authoring: Writing guides on Best Practices for Prompt Engineering or How to Fine-tune Hyperparameters for the specific platform.\nCustomer Onboarding: Guiding new technical users through the initial setup of their ML experiments.\nTranslating Documentation: Taking complex engineering release notes and making them understandable for the customer's IT team.\n4. The Feedback Bridge to Engineering\nThe TSR is the first to see patterns in how the product fails in the real world.\nBug Reporting: Identifying and reproducing software bugs in the ML platform and escalating them to the ML Engineers or DevOps team.\nFeature Requests: Aggregating customer feedback regarding missing ML capabilities (e.g., Customers are asking for support for PyTorch 2.0).\nEdge Case Discovery: Documenting unique edge cases where the AI model consistently fails, which helps the data science team improve future training sets.\nResponsibility for maintaining SLA (Service Level Agreements) and identifying product bugs for the engineering team.\nTranslating complex AI concepts for non-technical users and managing high-pressure customer interactions.\"\n\"Support with 24x7 operations (Rotati onal Shifts)\nOwn and resolve technical cases end-to-end\nEnsure accurate documentation.\nMeet defined SLAs and quality benchmarks while handling customer communications.\"","description_format":"text","description_chars":3835,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-31T22:56:51Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.842,"p_room":0.75,"age_days":3,"expected_fill_days":4,"reasons":["conf:0","velocity","win:late","comp:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/tata-consultancy-services-technical-support-aiml","json_url":"https://alion.io/job/tata-consultancy-services-technical-support-aiml.json","meta":{"generated_at":"2026-11-04T09:42:07Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15055,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":222},"rest":"https://alion.io/mcp/rest/get_company?id=222"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftata-consultancy-services-technical-support-aiml"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftata-consultancy-services-technical-support-aiml"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftata-consultancy-services-technical-support-aiml"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tata-consultancy-services-technical-support-aiml\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftata-consultancy-services-technical-support-aiml"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3577698}},{"tool":"search_jobs","arguments":{"company":"tcs.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3577698},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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