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# AI/ML Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Computer Programming, Continuous Integration, Data Systems, DevOps, Python (Programming Language), Machine Learning, MongoDB, Natural Language Processing, OpenShift, Oracle (Applications), Redis, Tensorflow, Software Engineering, SQL Databases, Software Organization, Data Processing, Enterprise Software Applications, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Generative AI, Git, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Claude, Terraform, GPT, Docker, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-ml-engineer-jersey-city-nj--d7a68460-5e78-4070-bb9e-3851a0b6a464

## About the Role

Required Skills: Python | SQL

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 10 - 15 Years, * Languages: Python, SQL (Java/JavaScript preferred)

 * AI/ML: Machine Learning, Deep Learning, NLP, Generative AI, LLMs, RAG, Prompt Engineering
 * Cloud DevOps: Docker, Kubernetes/OpenShift, Git, CI/CD, Terraform
 * Data Technologies: Oracle, Spark, Redis Vector DB, MongoDB

Ideal Candidate: A hands-on AI engineer with strong software development skills who can take

AI/ML solutions from concept to production while ensuring scalability, governance, and business impact.

Roles & Responsibilities

 * 10+ years of experience in AI/ML, Data Science, or Software Engineering.
 * Strong programming skills in Python and experience with SQL.
 * Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and production ML deployments.
 * Solid understanding of machine learning algorithms, statistics, data processing, and software development best practices.
 * Experience with Generative AI, LLMs (GPT, Llama, Claude), Prompt Engineering, and RAG.
 * Experience with AWS, Azure, or GCP.
 * Knowledge of Docker, Kubernetes/OpenShift, CI/CD, and MLOps platforms.
 * Experience with vector databases, large-scale data processing, and regulated industries such as financial services.
 * Design, build, and deploy ML models for prediction, recommendation, forecasting, and anomaly detection.

## Description

Role: EngineerRequired Skills: Python | SQLQualification: BACHELOR OF COMPUTER SCIENCEExperience: 10 - 15 YearsFunction: TECHNOLOGYApply By: 2026-11-28Must Have Technical/Functional SkillsLanguages: Python, SQL (Java/JavaScript preferred)AI/ML: Machine Learning, Deep Learning, NLP, Generative AI, LLMs, RAG, Prompt EngineeringCloud DevOps: Docker, Kubernetes/OpenShift, Git, CI/CD, TerraformData Technologies: Oracle, Spark, Redis Vector DB, MongoDBIdeal Candidate: A hands-on AI engineer with strong software development skills who can takeAI/ML solutions from concept to production while ensuring scalability, governance, and business impact.Roles & Responsibilities10+ years of experience in AI/ML, Data Science, or Software Engineering.Strong programming skills in Python and experience with SQL.Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and production ML deployments.Solid understanding of machine learning algorithms, statistics, data processing, and software development best practices.Experience with Generative AI, LLMs (GPT, Llama, Claude), Prompt Engineering, and RAG.Experience with AWS, Azure, or GCP.Knowledge of Docker, Kubernetes/OpenShift, CI/CD, and MLOps platforms.Experience with vector databases, large-scale data processing, and regulated industries such as financial services.Design, build, and deploy ML models for prediction, recommendation, forecasting, and anomaly detection.Develop Generative AI solutions using LLMs and implement RAG architectures leveraging vector databases and enterprise knowledge sources.Build and maintain MLOps pipelines for model training, deployment, monitoring, and continuous improvement.Develop APIs and microservices to integrate AI capabilities into enterprise applications. Collaborate with business, data, and engineering teams to translate requirements into AI-driven solutions.Ensure compliance with security, governance, responsible AI, and model risk management standards.Mentor team members and contribute to AI/ML best practices.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.Salary Range $100,000 - $120,000 a year