6 - 10 years
4 - 9 Lacs
Posted:2 hours ago|
Platform:
Work from Office
Full Time
Expert proficiency in Python and specialized ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), with specific expertise in transformer-based architecture. • Deep understanding of various GenAI applications (e.g., text generation, summarization, code synthesis, vector storage and retrieval) and the trade-offs between different foundation mode
Proficiency in GenAI orchestration frameworks such as LangChain or LlamaIndex to build complex, multi-step generative applications. • Expertise in managing and integrating vector databases (e.g., Pinecone, Weaviate, Milvus) and embedding generation pipelines for semantic search and RAG systems. • Ability to manage and process large, unstructured datasets, often leveraging tools like Spark for data preparation pipelines, including cleaning data specifically for LLM fine-tuning. • Strong command of prompt engineering methodologies and capacity to design reusable, efficient prompt templates and management systems. • Familiarity with cloud platforms (AWS, Azure, or GCP) and specialized GenAI model hubs and services (e.g., Hugging Face, OpenAI APIs, Anthropic, or proprietary cloud offerings). • Skill in diagnosing and resolving complex technical issues related to inference latency, memory management, and cost optimization for large foundation models.
Python, SQL, Apache, Spark, RAG, Machine Learning, ML, AI, Generative AI, GenAI, LangChain, LlamaIndex, Tensorflow, VectorDB, AWS, Azure, Kubernetes, LLM
Tata Consultancy Services
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Practice Python coding challenges to boost your skills
Start Practicing Python Now
kolkata, hyderabad, chennai
4.0 - 9.0 Lacs P.A.
hyderabad
15.0 - 19.0 Lacs P.A.
8.0 - 11.0 Lacs P.A.
noida
4.0 - 7.0 Lacs P.A.
noida
3.0 - 3.0 Lacs P.A.
8.0 - 13.0 Lacs P.A.
hyderabad
15.0 - 19.0 Lacs P.A.
gandhinagar
6.0 - 6.0 Lacs P.A.
4.0 - 7.0 Lacs P.A.
kolkata, hyderabad, chennai
4.0 - 9.0 Lacs P.A.
