Data Contributor Jobs at Tata Consultancy Services with Visa Sponsorship
Data Contributor roles at Tata Consultancy Services sit within large-scale enterprise and client-facing technology projects, requiring strong data management, validation, and pipeline experience. TCS has a well-established sponsorship infrastructure that supports international candidates across multiple visa pathways throughout the hiring and onboarding process.
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Get Access To All JobsJob Description
Must Have Technical/Functional Skills
- Advanced Python development for ML/AI workloads
- End‑to‑end ML lifecycle: model training, evaluation, fine‑tuning, and labeling/tagging workflows
- Generative AI systems design, including LLM-based application development
- Prompt engineering optimization for large language models
- Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data
- Embedding generation pipelines for semantic search and retrieval
- Vector similarity search implementation using vector databases
- ML model integration with Vector DBs and MongoDB
- Production‑grade ML engineering: scalable, maintainable, and deployment‑ready code
Roles & Responsibilities
We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
Strong Fit If The Candidate
- Has expert level Python skills
- Has hands on experience building ML/GenAI systems, not just theoretical knowledge
- Has worked on end to end ML pipelines (data → model → deployment)
- Has experience with document AI, embeddings, and vector search
- Thinks like an engineer (scalable, maintainable, production ready code)
Likely Not a Fit If The Candidate Is
- Primarily a BI / reporting analyst
- Focused only on statistical modeling or academic research
- Lacking experience with deployment, pipelines, or GenAI systems
Key Responsibilities
- Develop and deploy machine learning and GenAI solutions using Python
- Design and optimize prompt engineering strategies for LLM-based applications
- Build document extraction, parsing, and chunking pipelines for structured and unstructured data
- Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
- Implement embedding generation and vector search solutions
- Integrate ML models with Vector DBs and MongoDB
- Ensure code quality, scalability, and production readiness
Salary Range
$95,000 - $135,000
TCS Employee Benefits Summary
- Discretionary Annual Incentive
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
- Family Support: Maternal & Parental Leaves
- Insurance Options: Auto & Home Insurance, Identity Theft Protection
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
- Time Off: Vacation, Time Off, Sick Leave & Holidays
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
Qualifications
BACHELOR OF COMPUTER SCIENCE
Job Description
Must Have Technical/Functional Skills
- Advanced Python development for ML/AI workloads
- End‑to‑end ML lifecycle: model training, evaluation, fine‑tuning, and labeling/tagging workflows
- Generative AI systems design, including LLM-based application development
- Prompt engineering optimization for large language models
- Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data
- Embedding generation pipelines for semantic search and retrieval
- Vector similarity search implementation using vector databases
- ML model integration with Vector DBs and MongoDB
- Production‑grade ML engineering: scalable, maintainable, and deployment‑ready code
Roles & Responsibilities
We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
Strong Fit If The Candidate
- Has expert level Python skills
- Has hands on experience building ML/GenAI systems, not just theoretical knowledge
- Has worked on end to end ML pipelines (data → model → deployment)
- Has experience with document AI, embeddings, and vector search
- Thinks like an engineer (scalable, maintainable, production ready code)
Likely Not a Fit If The Candidate Is
- Primarily a BI / reporting analyst
- Focused only on statistical modeling or academic research
- Lacking experience with deployment, pipelines, or GenAI systems
Key Responsibilities
- Develop and deploy machine learning and GenAI solutions using Python
- Design and optimize prompt engineering strategies for LLM-based applications
- Build document extraction, parsing, and chunking pipelines for structured and unstructured data
- Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
- Implement embedding generation and vector search solutions
- Integrate ML models with Vector DBs and MongoDB
- Ensure code quality, scalability, and production readiness
Salary Range
$95,000 - $135,000
TCS Employee Benefits Summary
- Discretionary Annual Incentive
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
- Family Support: Maternal & Parental Leaves
- Insurance Options: Auto & Home Insurance, Identity Theft Protection
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
- Time Off: Vacation, Time Off, Sick Leave & Holidays
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
Qualifications
BACHELOR OF COMPUTER SCIENCE
See all 26+ Data Contributor at Tata Consultancy Services jobs
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Get Access To All JobsTips for Finding Data Contributor Jobs at Tata Consultancy Services Jobs
Align Your Degree to Data Functions
TCS Data Contributor roles typically require a degree in computer science, information systems, or a related technical field. Ensure your transcripts clearly reflect data-relevant coursework, since H-1B specialty occupation approval hinges on a direct connection between your degree and the role.
Target TCS Project-Based Hiring Cycles
TCS hires Data Contributors in waves tied to client project ramp-ups, often in Q1 and Q3. Applying through TCS's careers portal when enterprise data or analytics projects are actively listed improves your chances of landing in a sponsorship-eligible headcount.
Use Migrate Mate to Filter Sponsorship-Verified Listings
Not every Data Contributor listing at TCS is attached to a sponsorship-ready team. Use Migrate Mate to surface open roles specifically confirmed for visa sponsorship, so you're applying to positions where international hiring is already approved rather than negotiating it after the fact.
Clarify OPT Cap-Gap Coverage Before Accepting
If you're on F-1 OPT when TCS extends an offer, confirm they'll cover your cap-gap period through an H-1B filing before April 1. TCS's volume of H-1B filings means they're familiar with this window, but you need written confirmation in your offer documentation.
Understand the PERM Timeline for Green Card Eligibility
TCS routinely sponsors EB-2 and EB-3 Green Cards for long-term contributors, but PERM labor certification with DOL adds 12 to 18 months before USCIS sees your I-140. Knowing this upfront helps you plan status continuity, especially if your H-1B extensions are tied to an approved petition.
Prepare a Data Skills Portfolio Before Interviews
TCS technical screenings for Data Contributor positions assess hands-on proficiency in data ingestion, transformation, and quality tools. Having documented project samples, SQL scripts, or pipeline work ready to walk through signals practical readiness and reduces the time between offer and sponsorship initiation.
Data Contributor at Tata Consultancy Services jobs are hiring across the US. Find yours.
Find Data Contributor at Tata Consultancy Services JobsFrequently Asked Questions
Does Tata Consultancy Services sponsor H-1B visas for Data Contributors?
Yes, TCS sponsors H-1B visas for Data Contributor roles. TCS is one of the most active H-1B filers in the technology services sector, and Data Contributors in data management, pipeline engineering, and analytics functions are regularly included in their sponsorship programs. You'll want to confirm sponsorship eligibility during initial recruiter conversations, before moving to technical rounds.
Which visa types does Tata Consultancy Services commonly use for Data Contributor roles?
TCS sponsors H-1B, F-1 OPT, F-1 CPT, TN, EB-2, and EB-3 visas for Data Contributor positions. H-1B is the most common path for full-time hires, while F-1 OPT and CPT are used for students and recent graduates. TN is available for Canadian and Mexican nationals in qualifying technical roles. EB-2 and EB-3 apply to longer-term employees pursuing permanent residence.
What qualifications does Tata Consultancy Services expect for Data Contributor positions?
TCS Data Contributor roles typically require a bachelor's degree in computer science, information systems, or a related technical discipline, along with hands-on experience in data entry, validation, ETL processes, or data pipeline tools. Familiarity with SQL, data quality frameworks, and enterprise platforms is commonly expected. Roles supporting client engagements may also require experience in specific industry verticals like banking, healthcare, or retail.
How do I apply for Data Contributor jobs at Tata Consultancy Services?
You can apply directly through the TCS careers portal or through Migrate Mate, which lists open Data Contributor positions at TCS filtered specifically for visa sponsorship eligibility. Before applying, tailor your resume to reflect data management and pipeline experience relevant to TCS's client sectors. Recruiter screening at TCS typically moves quickly, so having your supporting documents, including degree transcripts and any prior visa documentation, ready in advance helps avoid delays.
How do I understand the timeline for H-1B sponsorship at Tata Consultancy Services?
TCS files H-1B petitions during the annual cap registration window in March, with an October 1 start date if selected. If you receive an offer before April 1, TCS can include you in that year's lottery registration. If you're on F-1 OPT with a cap-gap, you can continue working through the gap period. USCIS processing after selection typically takes three to five months without premium processing.
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