Senior Data Scientist

Overview

Senior Data Scientist role at Valtech focused on Generative AI innovation, strategy, and technical implementation of AI solutions for client business challenges.

What you'll do

• Spearhead the identification of business scenarios where Generative AI (LLMs, GANs, Diffusion models) can be effectively applied to create tangible value.
• Research, design, and prototype cutting-edge approaches, exploring existing scientific research to inform solution development.
• Evaluate the technical and economic feasibility of Generative AI solutions for real-world client use cases.
• Collaborate with Product Managers and stakeholders to shape a clear, forward-looking vision of AI technology and its practical applications.
• Implement and validate AI solutions for diverse business challenges, writing production-ready code using best engineering practices.
• Optimize deep learning models for production environments to ensure scalability and latency requirements are met.
• Collaborate closely with the ML Engineering team throughout all stages of the lifecycle, from initial research to final implementation.
• Oversee the data mining process, including data collection, cleansing, and exploratory analysis to support model training and fine-tuning.

What you'll need

• Minimum of 4+ years in Data Science and Analytics.
• Minimum 3+ years focused specifically on developing generative models (LLMs, GANs, VAEs, Diffusion models) and Deep Learning.
• Bachelor's or Master's Degree in Computer Science, Mathematics, Applied Statistics, or a related field.
• Expertise in Computer Vision and NLP, with specific experience handling multimodal data (images, text, audio).
• Familiarity with Gemini, OpenAI GPT-x, open-source LLMs (Llama, Mistral, etc.), and experience in fine-tuning models (PEFT, LoRA).
• Expertise in designing RAG architectures to ground LLM responses in proprietary data.
• Proficiency with vector stores such as Pinecone, Milvus, Weaviate, or ChromaDB for efficient semantic search and retrieval.
• Advanced skills in prompt optimization, chain-of-thought reasoning, and framework usage (e.g., LangChain, LlamaIndex).
• Strong programming skills in Python with proven ability to write clean, production-ready code.
• Proficiency with deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
• Excellent fluency in English (B2+ or higher) with the ability to explain complex technical concepts to non-technical audiences.
• A strategic thinker capable of devising holistic solutions for complex customer issues.

Nice to have

• Experience with MLOps tools (e.g., MLflow, Kubeflow) and practices for deploying and monitoring AI models.
• Knowledge of AI ethics, bias detection, and safety guardrails (e.g., NeMo Guardrails) for deploying LLMs securely.
• Experience wrapping models in APIs using FastAPI or Flask for integration with frontend applications.
• Knowledge of Reinforcement Learning (RLHF) and self-supervised learning approaches.
• Experience with emerging Generative AI architectures.
• Experienced in Agile methodologies and consulting.

Details

• Full-time position based in Bengaluru.
• Remote and hybrid work options available (country-dependent).