Tata Consultancy Services
Job Title: AI ML Engineer
Job Description: We are looking for a highly skilled and passionate AL/ML Engineer to join our AI/ML team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and enhance products and services.
Responsibilities: Work with data scientists/data engineers to translate prototypes and theoretical models into functional, production ready code. Collaborate with product, engineering, and research teams to integrate AI/ML into applications and services. Research, evaluate, and implement the latest advancements in AI/ML and large language models (LLMs). Work on productionalize the AL/ML model in Hadoop environment. Work with vector databases (e.g., FAISS, PGVector, Pinecone) for retrieval-augmented generation (RAG) and semantic search use cases. Design scalable, observable, and resilient AI ML models for real-world applications. Monitor model performance and continuously improve efficiency, accuracy, and user experience.
Qualifications: Strong experience in deep learning and NLP, especially LLMs and generative models. Proficiency in Python and ML libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs. Experience with prompt engineering, few-shot learning, and fine-tuning LLMs. Familiarity with ML Ops/LLMOps and distributed systems. Experience working with vector databases and RAG pipelines. Solid understanding of system design patterns, scalability, observability, and performance tuning. Strong analytical and problem-solving skills. Passion for exploring and building with emerging AI technologies.
Salary Range: $100,000 to $140,000 per year
Job Description: We are looking for a highly skilled and passionate AL/ML Engineer to join our AI/ML team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex problems and enhance products and services.
Responsibilities: Work with data scientists/data engineers to translate prototypes and theoretical models into functional, production ready code. Collaborate with product, engineering, and research teams to integrate AI/ML into applications and services. Research, evaluate, and implement the latest advancements in AI/ML and large language models (LLMs). Work on productionalize the AL/ML model in Hadoop environment. Work with vector databases (e.g., FAISS, PGVector, Pinecone) for retrieval-augmented generation (RAG) and semantic search use cases. Design scalable, observable, and resilient AI ML models for real-world applications. Monitor model performance and continuously improve efficiency, accuracy, and user experience.
Qualifications: Strong experience in deep learning and NLP, especially LLMs and generative models. Proficiency in Python and ML libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs. Experience with prompt engineering, few-shot learning, and fine-tuning LLMs. Familiarity with ML Ops/LLMOps and distributed systems. Experience working with vector databases and RAG pipelines. Solid understanding of system design patterns, scalability, observability, and performance tuning. Strong analytical and problem-solving skills. Passion for exploring and building with emerging AI technologies.
Salary Range: $100,000 to $140,000 per year