AI Resume Builder
JOIN NOW Post Job
Tata Consultancy Services (TCS)
AI

Senior AI ML Engineer

Tata Consultancy Services (TCS) · Chicago, IL, US · $120k - $140k

Actively hiring Posted about 1 month ago

Must Have Technical/Functional Skill

  • Hands on experience building ML/LLM based applications

  • Proven expertise with embeddings, vector databases, and retrieval pipelines

  • Experience designing agent workflows, prompt strategies, and orchestration

  • Strong Python skills with frameworks like LangChain, LlamaIndex, PyTorch, etc.

  • CI/CD, scalable model deployment, monitoring, and lifecycle managemen

Roles & Responsibilities

  • Design and deliver AI/ML, Agentic AI, and LLM‑based solutions end to end

  • Translate business needs into scalable AI architectures and measurable outcomes

  • Build RAG pipelines, embeddings, vector search, and LLM orchestration workflows

  • Develop agentic workflows, prompt strategies, and system guardrails

  • Optimize AI systems for performance, cost, scalability, and reliability

  • Implement MLOps/CI‑CD, monitoring, drift detection, and lifecycle management

  • Ensure production‑grade data pipelines with validation, lineage, and reproducibility

  • Mentor engineers and drive responsible AI governance and architecture decisions

Salary Range: $120,000-$140,000 a year

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 & amp; Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-SP1

Location

Chicago, IL

Job Function

TECHNOLOGY

Role

Senior Engineer

Job Id

411848

Desired Skills

Python

Salary Range

$120,000-$140,000 a year

Desired Candidate Profile

Qualifications : BACHELOR OF COMPUTER SCIENCE

Tags & focus areas

Used for matching and alerts on DevFound
Ai Machine Learning Mlops Pytorch Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support