[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Sunrise, FL # Machine Learning Engineer Sunrise, FL $90,000 to $110,000 Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/421850J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Machine Learning Engineer ## 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). ### Key Responsibilities 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. - 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.