Senior Data Scientist (Generative AI)

TL;DR

Senior Data Scientist (Generative AI): Lead and implement innovative Generative AI solutions by researching, prototyping, and developing production-ready models using deep learning and multimodal data. Focus on designing RAG architectures, prompt optimization, and ensuring scalability of AI solutions in production environments.

Location: Must be based in Bengaluru, India

Company

hirify.global is an experience innovation company that partners with recognized brands like L'Oréal, Mars, and Audi to unlock new value at the intersection of data, AI, creativity, and technology.

What you will do

• Spearhead Generative AI initiatives, identifying business scenarios where LLMs, GANs, and Diffusion models create tangible value.
• Research, design, and prototype cutting-edge approaches, leveraging existing scientific research.
• Evaluate the technical and economic feasibility of Generative AI solutions for client use cases.
• Collaborate with Product Managers and stakeholders to shape the vision of AI technology and its practical applications.
• Implement and validate AI solutions for diverse business challenges, writing production-ready code.
• Optimize deep learning models for production environments to ensure scalability and latency requirements are met.

Requirements

• Minimum 4+ years in Data Science and Analytics, with 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 experience handling multimodal data (images, text, audio).
• Familiarity with Gemini, OpenAI GPT-x, open-source LLMs (Llama, Mistral, etc.), and fine-tuning models (PEFT, LoRA).
• Expertise in designing Retrieval-Augmented Generation (RAG) architectures.
• Proficiency with vector stores such as Pinecone, Milvus, Weaviate, or ChromaDB.
• 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.

Nice to have

• Experience with MLOps tools (e.g., MLflow, Kubeflow) and practices.
• Knowledge of AI ethics, bias detection, and safety guardrails (e.g., NeMo Guardrails).
• Experience wrapping models in APIs using FastAPI or Flask.
• Knowledge of Reinforcement Learning (RLHF) and self-supervised learning approaches.

Culture & Benefits

• Environment designed for continuous learning, meaningful impact, and professional growth.
• Values-driven culture that fosters creativity, diversity, and autonomy.
• Flexibility, with hybrid work options (country-dependent).
• Access to cutting-edge tools, training, and industry experts for learning and development.
• Commitment to inclusion and accessibility, building an equitable culture where everyone belongs.

Hiring process

• Our Talent Acquisition team will review your application.
• If your skills and experience align with the role, we’ll reach out for next steps.
• Reasonable accommodations during the interview process are available upon request.