Data Science- Gen AI- LLM
- Evalueserve
- 6 - 10 years
- Bengaluru
- 2 months ago
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Job Description
Role & responsibilities
- Expertise in Data Analysis, Statistics, Computer Vision, AI & Machine Learning Concepts
- Unflinching zeal to learn, to try out Proof of Technology for new and emerging AI/ML
- Design and develop applications powered by Large Language Models (LLMs) like GPT-4, Claude, Gemini, and open-source models (LLaMA, Mistral, etc.)
- Implement RAG pipelines using LangChain and LangGraph for production-ready applications.
- Build and orchestrate autonomous and tool-using LLM agents.
- Integrate with vector databases (e.g., Pinecone, Chroma, Weaviate, FAISS) for semantic search and memory storage.
- Use tools like OpenAI Function Calling, React, or LangGraph Agents for decision-based workflows.
- Deploy applications using cloud platforms (Azure, AWS, GCP) with APIs, microservices, or serverless functions.
- Collaborate with product and design teams to develop chatbots, copilots, and multimodal interfaces.
- Monitor performance, cost, latency, and evaluate prompt effectiveness through prompt engineering best practices.
- Fine-tune, quantize, or use adapters (LoRA, PEFT) for open-source models where applicable.
- Stay up-to-date with the latest advancements in Gen AI, MLOps, and AI safety principles
Preferred candidate profile
- Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, or a related field.
- 5-8 years of experience as a Data Scientist with strong skills in Python, NLP, Deep Learning, and Statistics.
- Hands-on experience with LangChain, LangGraph, and building LLM Agents for real-world AI applications.
- Strong Python skills with experience in deploying Gen AI apps using frameworks like FastAPI or Streamlit.
- Expertise in Retrieval-Augmented Generation (RAG) and working with vector databases like Pinecone, FAISS, or Chroma.
- Deep understanding of prompt engineering, OpenAI function calling, and chaining logic for dynamic interactions.
- Familiarity with cloud platforms such as Azure and AWS and deploying models to these platforms.
- Strong problem-solving and analytical skills with excellent communication and presentation skills.
Job Classification
Industry: Analytics / KPO / ResearchFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: EvalueserveLocation(s): Bengaluru+ View Contact
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