AI ML Engineer

Tata Consultancy Services Ltd

  • Pennington, NJ
  • 9 days ago
  • $75,000–$115,000 Per Year

Highlights

Experience with AI/Data Engineering concepts: Embeddings, Chunking, Vector Databases, Semantic Search, Retrieval-Augmented Generation (RAG). Build and optimize data pipelines, ETL processes, and automation frameworks using Python.

Numbers & Facts

LocationPennington, NJ
Salary$75,000–$115,000 Per Year

Description

Role: Engineer

Required Skills: Artificial Intelligence

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 4 - 8 Years

Function: TECHNOLOGY

Apply By: 2026-12-08

Primary Skill: AI - NLP / Search Analytics

Secondary skills: AI - OCR Text

Processing Must Have Technical/Functional Skills

Experience with Vector Databases and implementing embedding pipelines

Experience with PromptQL

5+ years of Oracle Database development experience

Advanced SQL development, query optimization, and performance tuning

Strong PL/SQL (Packages, Procedures, Functions, Views)

Data Modeling and Relational Database Design

ETL development and Data Pipeline implementation

Strong Python programming and automation scripting

API development and data integration

Experience with AI/Data Engineering concepts: Embeddings, Chunking, Vector Databases, Semantic Search, Retrieval-Augmented Generation (RAG)

Metadata-driven and semantic data architecture

Conversational Analytics / NLP-based data solutions

CI/CD and modern application development practices

Strong analytical, problem-solving, and communication skillsRoles & Responsibilities

Develop and maintain Oracle database solutions using SQL and PL/SQL.

Build and optimize data pipelines, ETL processes, and automation frameworks using Python.

Design and implement APIs and data integration solutions.

Support the Talk-to-Data platform and conversational analytics capabilities.

Develop and optimize embedding pipelines for semantic search use cases.

Support chunking, vector database integration, and RAG-based architectures.

Design and maintain semantic data models and metadata-driven solutions.

Perform query optimization, database tuning, and performance improvements.

Ensure data quality, governance, and consistency across data assets.

Collaborate with Data Architects, AI Engineers, Product Owners, and business stakeholders.

Participate in Agile development, testing, deployment, and production support activities.

Document technical designs, architecture, and operational procedures.

Salary: $75,000 - $115,000

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