Tata Consultancy Services
Data Scientist
at
Tata Consultancy Services
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Job Description
Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets.
Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering.
Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance.
Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling.
Deploy models using Azure, ensuring scalability and governance with MLOps best practices.
Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes.
Collaborate with engineering teams for productionization and monitoring of models.
Drive continuous improvement through metrics-driven insights and iterative refinements.
Salary Range: $110,000-$140,000 Year
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 Details
Seniority Level:
Entry level
Employment type:
Full-time
Job function:
Engineering and Information Technology
Industries:
IT Services and IT Consulting
#J-18808-Ljbffr
at
Tata Consultancy Services
Get AI-powered advice on this job and more exclusive features.
Job Description
Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets.
Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering.
Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance.
Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling.
Deploy models using Azure, ensuring scalability and governance with MLOps best practices.
Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes.
Collaborate with engineering teams for productionization and monitoring of models.
Drive continuous improvement through metrics-driven insights and iterative refinements.
Salary Range: $110,000-$140,000 Year
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 Details
Seniority Level:
Entry level
Employment type:
Full-time
Job function:
Engineering and Information Technology
Industries:
IT Services and IT Consulting
#J-18808-Ljbffr