We are looking for an experienced Data Scientist with strong hands-on experience in building AI/ML solutions, especially using LLMs, retrieval augmented generation (RAG), and modern vector database architectures. The ideal candidate should have strong problem-solving skills, advanced Python expertise, and experience deploying ML models in production environments.
Responsibilities
Design, develop, and deploy end-to-end ML and NLP solutions.
Build RAG-based pipelines using vector stores and LLMs for real-world use cases.
Develop embedding pipelines using OpenAI, HuggingFace, SentenceTransformers, etc.
Perform data cleaning, transformation, feature engineering, and EDA.
Fine-tune foundational models and apply few shot / in-context prompting techniques.
Build reusable components leveraging LangChain, LlamaIndex and other LLM toolkits.
Work closely with Engineering and Product teams to convert business problems into AI solutions.
Contribute to MLOps workflows including model deployment, testing and CI/CD.
Prepare analytics dashboards, visualizations, and insights to be consumed by stakeholders.
Required Skills & Experience
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
4+ years hands-on experience in Machine Learning / NLP / GenAI.
Practical experience with RAG architectures & vector databases (FAISS / Pinecone / Weaviate / ChromaDB).
Proficiency in Python, LangChain, LlamaIndex and LLM frameworks (OpenAI, HuggingFace Transformers).
Strong experience in Pandas, NumPy, Matplotlib for data manipulation & visualization.
Experience in LLM fine-tuning, prompt engineering, and in-context learning strategies.
Cloud AI platform experience (AWS Sagemaker / Azure AI / Google Vertex AI).
Experience integrating models into APIs and production systems (MLOps, CI/CD).
Strong analytical mindset with ability to communicate insights to both tech and business stakeholders.
Nice to Have
Experience with Kafka, Spark, or real-time data processing frameworks.
Exposure to vector search optimization and prompt evaluation metrics.
Knowledge of multi-agent AI frameworks / orchestration engines.
Job Types: Full-time, Permanent
Pay: ₹90,000.00 - ₹100,000.00 per month
Work Location: In person
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