> Markdown version of [/jobs/ext/3778722-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3778722-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ML Engineer - **Company:** Tata Consultancy Services Limited - **Location:** Pennington, NJ, United States - **Experience:** Experienced - **Salary:** $75,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Encodings, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Relational Databases, Database Development, Python (Programming Language), Metadata, Oracle Databases, Performance Tuning, Query Optimization, Search Technologies, Software Engineering, PL-SQL, SQL Databases, Scripting, Retrieval-Augmented Generation, Database Optimization, Generative AI, Information Technology, Data Analytics, Api Design, Artificial Intelligence Markup Language (AIML), Data Pipelines - **Published:** October 16, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-ml-engineer-pennington-nj--65ffba71-a0f7-4e99-9306-6c7bf23bd082 ## About the Role Required Skills: Artificial Intelligence Qualification: BACHELOR OF COMPUTER SCIENCE Experience: 4 - 8 Years, 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 ## Description Role: EngineerRequired Skills: Artificial IntelligenceQualification: BACHELOR OF COMPUTER SCIENCEExperience: 4 - 8 YearsFunction: TECHNOLOGYApply By: 2026-12-08Primary Skill: AI - NLP / Search AnalyticsSecondary skills: AI - OCR TextProcessing Must Have Technical/Functional SkillsExperience with Vector Databases and implementing embedding pipelinesExperience with PromptQL5+ years of Oracle Database development experienceAdvanced SQL development, query optimization, and performance tuningStrong PL/SQL (Packages, Procedures, Functions, Views)Data Modeling and Relational Database DesignETL development and Data Pipeline implementationStrong Python programming and automation scriptingAPI development and data integrationExperience with AI/Data Engineering concepts: Embeddings, Chunking, Vector Databases, Semantic Search, Retrieval-Augmented Generation (RAG)Metadata-driven and semantic data architectureConversational Analytics / NLP-based data solutionsCI/CD and modern application development practicesStrong analytical, problem-solving, and communication skillsRoles & ResponsibilitiesDevelop 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