Tredence Analytics Solutions - Senior Data Scientist/Lead Data Scientist

Mandatory Skill : Generative AI (GCP + Gemini)

Location : Bangalore, Pune, Gurgaon, Chennai, Hyderabad and Kolkata

Experience : 5 to 12 Years

About the Role :

This role requires strong expertise in LLM-based application development, prompt engineering, and Retrieval-Augmented Generation (RAG), along with the ability to translate complex business problems into AI-driven solutions.

Key Responsibilities :

- Design and develop Generative AI solutions using Gemini models on Google Cloud Platform.

- Build and deploy LLM-powered applications using Gemini APIs and Vertex AI.

- Develop multi-modal AI solutions using Gemini capabilities (text, code, reasoning, and document understanding).

- Implement Retrieval-Augmented Generation (RAG) pipelines integrating Gemini models with enterprise data sources.

- Perform advanced prompt engineering and prompt optimization for Gemini models to improve response accuracy and reliability.

- Build agentic AI workflows and conversational AI systems using Gemini-based LLMs.

- Develop and deploy scalable ML pipelines on Vertex AI including training, fine-tuning, and inference pipelines.

- Integrate Gemini models with vector databases, embeddings, and knowledge retrieval systems.

- Optimize model performance, latency, and cost efficiency in production environments on GCP.

- Collaborate with data engineers, ML engineers, and product teams to translate business problems into scalable AI solutions.

- Stay updated with the latest advancements in Googles AI ecosystem including Gemini, Vertex AI, and GenAI frameworks.

Required Skills & Qualifications :

- 5 to 12 years of experience in Data Science, Machine Learning, or AI.

- Strong hands-on experience in Generative AI and Large Language Models (LLMs).

- Practical experience working with Google Gemini models (Gemini Pro / Gemini APIs / Gemini via Vertex AI).

- Strong experience with Google Cloud Platform (GCP) including Vertex AI.

- Experience building GenAI applications using Gemini for text generation, summarization, Q&A, reasoning, and document processing.

- Hands-on experience with prompt engineering, prompt tuning, and prompt optimization for Gemini models.

- Experience implementing RAG architectures using embeddings, vector databases, and LLMs.

- Strong programming expertise in Python with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

- Experience deploying production-grade ML/GenAI applications on cloud infrastructure.

- Strong understanding of NLP, deep learning, and LLM architectures.

Good to Have :

- Experience with LangChain, LlamaIndex, or other LLM orchestration frameworks.

- Experience building AI agents or agentic AI workflows.

- Knowledge of MLOps practices including CI/CD pipelines and model monitoring.

- Experience working with vector databases such as Pinecone, FAISS, or Weaviate.

- Familiarity with multi-modal AI applications using Gemini models.

Why Join Us :

- Work on cutting-edge Generative AI and enterprise-scale AI solutions.

- Opportunity to build impactful AI products using Googles latest AI technologies including Gemini.

- Collaborate with high-performing data scientists, engineers, and AI practitioners.