Job Title : Data Scientist - Generative AI / LLMs
Work Base Location : Bangalore / Pune / Chennai / Kolkata / Gurugram (Hybrid Mode)
Experience Range (Min-Max years) : 5 to 13 years
Work Shift Timings : Standard Business Hours (Hybrid)
Job Description :
We are seeking skilled Data Science professionals with strong Generative AI expertise to join our high-impact AI / ML team across multiple levels (L3, L4, L5). You will design, develop, and deploy cutting-edge GenAI solutions leveraging Large Language Models (LLMs), MLOps practices, and modern cloud platforms.
Key Responsibilities :
- Build and deploy scalable Generative AI and LLM-based applications (prompt engineering, fine-tuning, and RAG pipelines).
- Architect end-to-end ML workflows covering data ingestion, model training, evaluation, and production deployment.
- Implement robust MLOps practices including model versioning, monitoring, and performance optimization.
- Collaborate with data scientists, ML engineers, and product stakeholders to identify high-impact GenAI use cases.
- Integrate vector databases (e.g., Pinecone, FAISS, Weaviate) and optimize inference for cost-effective scaling.
- For L5 (GenAI Architect) : Lead system design and cloud deployment strategies, establish best practices, and mentor teams.
Core Skills (Must-Have) :
Generative AI and Large Language Models (LLMs) - hands-on experience with transformers, fine-tuning (LoRA / PEFT), and prompt engineering.Python - proficiency with ML / AI libraries (Hugging Face Transformers, LangChain, PyTorch / TensorFlow, OpenAI API).MLOps - experience with CI / CD for ML, containerization (Docker / Kubernetes), and cloud-native deployment (AWS / GCP / Azure).Strong knowledge of classical Data Science / Machine Learning concepts and algorithms.Preferred :
Exposure to multimodal models (text + Knowledge of AI governance, security, and compliance frameworks.Familiarity with advanced GenAI architectures and performance optimization techniques.Educational Qualification :
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field. A PhD is a plus.12-15 years in AI / ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures.(ref : hirist.tech)