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