FIND_THE_RIGHTJOB.
India
Data Scientist with Prompt Engineering
Experience: 4 to 7 Years
Location: Pune
Work Mode: Hybrid
Key Responsibilities:
* Collaborate with clients to understand business goals and problem statements.
* Design, develop, and deploy RAG applications to enhance knowledge retrieval and improve response generation.
* Work with frameworks such as LangChain, LangGraph, LlamaIndex, or similar to build scalable GenAI workflows.
* Apply prompt engineering strategies to optimize LLM performance and outputs.
* Leverage agentic AI concepts to design multi-step reasoning and autonomous decision-making workflows.
* Develop and fine-tune NLP/GenAI models for tasks such as summarization, Q&A, entity extraction, conversational AI, etc.
* Write clear, logical, and structured chains of thought when approaching problem-solving to ensure transparency and reproducibility.
* Collaborate with cross-functional teams to integrate GenAI/NLP solutions into client environments.
* Stay updated with the latest advancements in LLMs, GenAI, and NLP.
Required Skills & Qualifications:
* 4–7 years of experience in Data Science, AI/ML, NLP, or GenAI projects.
* Strong client-facing experience with excellent communication and presentation skills.
* Hands-on expertise in RAG architectures and frameworks (LangChain, LangGraph, LlamaIndex, etc.).
* Proficiency in prompt engineering and LLM-based application development.
* Knowledge or practical exposure to agentic AI applications (multi-agent workflows, autonomous systems).
* Strong foundation in NLP techniques (tokenization, embeddings, sentiment analysis, named entity recognition, etc.).
* Solid programming skills in Python and familiarity with ML/AI libraries(PyTorch, TensorFlow, Hugging Face).
* Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma, etc.).
* Familiarity with cloud platforms (AWS, Azure, GCP) and deployment pipelines.
* Analytical problem-solving mindset with the ability to write structured reasoning steps.
Good to Have:
* Experience in building end-to-end GenAI products from POC to production.
* Exposure to fine-tuning LLMs and model optimization.
* Understanding of data governance, security, and responsible AI practices
Job Types: Full-time, Permanent
Pay: ₹2,000,000.00 - ₹2,500,000.00 per year
Experience:
Work Location: In person
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