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Tata Consultancy Services Linkedin · Posted 3d ago

Machine Learning Engineer

Sunrise, Florida, United States

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Job Description

Role - Machine Learning Engineer

Experience Required -8+ Years

We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.

Must Have Technical/Functional Skills

We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.

  • Implement short-term and long-term memory strategies for LLM-based systems.
  • Optimize prompts, retrieval pipelines, and orchestration logic.
  • Collaborate with product and platform teams to deliver scalable AI solutions.

Required Qualifications

  • Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
  • Hands-on experience with LangChain and/or LangGraph.
  • Solid understanding of LLM memory architecture and state management.
  • Proficiency in Python and ML engineering best practices.

Nice to Have

  • Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
  • Experience deploying ML/GenAI systems in production environments.
  • data scientist
  • Can do ML model

Roles & Responsibilities

  • Design, develop, and deploy GenAI applications using LLMs.
  • Build and implement agentic workflows using LangChain/LangGraph.
  • Develop ML models and production-ready AI solutions.
  • Implement and manage LLM memory and state management strategies.
  • Optimize prompts, retrieval pipelines, and orchestration workflows.
  • Collaborate with product and platform teams to deliver scalable AI solutions.
  • Deploy, monitor, and maintain AI/ML systems in production environments.
  • Evaluate and integrate open-source and proprietary LLMs.

Base Salary Range : $90,000 to $110,000 Per Annum

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.

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