Data Scientist

4 weeks ago

Gurugram, India Nazztec Private Limited Full time

Job Title : Data Scientist - Generative AI / LLMsWork Base Location : Bangalore / Pune / Chennai / Kolkata / Gurugram (Hybrid Mode)Experience Range (Min-Max years) : 5 to 13 yearsWork 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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