Tata Consultancy Services
Machine Learning, AI, LLM and Gen AI Senior Engineer
Tata Consultancy Services, Austin, Texas, us, 78716
Machine Learning, AI, LLM and Gen AI Senior Engineer
Base pay range: $90,000 - $145,000 per year. Salary negotiated based on skills and experience.
Location: Sunnyvale, CA | 12 - 20 years of experience required.
Job Description We are seeking a senior engineer with deep expertise in machine learning, generative AI, and large language model (LLM) technologies. The role will lead the design, development, and deployment of end‑to‑end AI/ML solutions on the AWS platform, incorporating RAG architecture, multi‑agent frameworks, and advanced LLM prompt engineering.
Responsibilities
Build and optimize machine learning models using Python, TensorFlow, PyTorch, scikit‑learn, LangChain, and LlamaIndex.
Design and implement AI/GenAI solutions on AWS services such as SageMaker, Lambda, API Gateway, ECS, and CloudWatch.
Develop search, indexing, summarization, and retrieval models for effective information retrieval tasks.
Design and integrate RAG architecture and multi‑agent frameworks for natural language processing tasks.
Lead end‑to‑end development of predictive modeling, applied ML, and NLP solutions.
Engineer data pipelines for preprocessing, cleaning, feature engineering, and data generation using Python, PySpark, Pandas, and NumPy.
Containerize applications with Docker and deploy on cloud platforms.
Communicate complex technical concepts to technical and non‑technical stakeholders.
Qualifications
Master’s degree in Computer Science, Engineering, or related field.
Minimum 14 years of IT experience, 7 years as an ML engineer or data scientist.
Hands‑on experience with Python, Flask/Django/FastAPI, and cloud APIs.
Strong background in LangChain, LlamaIndex, Streamlit, and other LLM tooling.
Proven implementation of LLM use cases, prompt engineering, and fine‑tuning with LoRA/PEFT.
Experience with RAG architecture; multi‑agent framework is a plus.
Experience deploying, scaling, and monitoring ML/GenAI solutions on AWS.
Benefits Medical, Vision, and 401(k) benefits are offered. Referrals accelerate interview opportunities.
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Location: Sunnyvale, CA | 12 - 20 years of experience required.
Job Description We are seeking a senior engineer with deep expertise in machine learning, generative AI, and large language model (LLM) technologies. The role will lead the design, development, and deployment of end‑to‑end AI/ML solutions on the AWS platform, incorporating RAG architecture, multi‑agent frameworks, and advanced LLM prompt engineering.
Responsibilities
Build and optimize machine learning models using Python, TensorFlow, PyTorch, scikit‑learn, LangChain, and LlamaIndex.
Design and implement AI/GenAI solutions on AWS services such as SageMaker, Lambda, API Gateway, ECS, and CloudWatch.
Develop search, indexing, summarization, and retrieval models for effective information retrieval tasks.
Design and integrate RAG architecture and multi‑agent frameworks for natural language processing tasks.
Lead end‑to‑end development of predictive modeling, applied ML, and NLP solutions.
Engineer data pipelines for preprocessing, cleaning, feature engineering, and data generation using Python, PySpark, Pandas, and NumPy.
Containerize applications with Docker and deploy on cloud platforms.
Communicate complex technical concepts to technical and non‑technical stakeholders.
Qualifications
Master’s degree in Computer Science, Engineering, or related field.
Minimum 14 years of IT experience, 7 years as an ML engineer or data scientist.
Hands‑on experience with Python, Flask/Django/FastAPI, and cloud APIs.
Strong background in LangChain, LlamaIndex, Streamlit, and other LLM tooling.
Proven implementation of LLM use cases, prompt engineering, and fine‑tuning with LoRA/PEFT.
Experience with RAG architecture; multi‑agent framework is a plus.
Experience deploying, scaling, and monitoring ML/GenAI solutions on AWS.
Benefits Medical, Vision, and 401(k) benefits are offered. Referrals accelerate interview opportunities.
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