
Data Scientist
4 weeks ago
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)-
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