Senior/Lead Data Scientist - Generative AI
Description
Job Description :
Job Title : Lead Data Scientist
Experience : 7+ Years
Location : Pune / Bangalore / Gurugram
Work Mode : Hybrid
About the Role :
We are looking for an experienced Senior / Lead Data Scientist to drive the design, development, and deployment of advanced AI solutions. This role focuses on end-to-end ownership of machine learning and GenAI initiatives, mentoring junior team members, and partnering with business and engineering stakeholders to deliver scalable, production-grade AI systems.
Key Responsibilities :
- Lead the design and implementation of machine learning and AI solutions end-to-end.
- Build and deploy advanced ML models for structured and unstructured data.
- Architect and deliver NLP and GenAI solutions, including LLM-based applications and RAG pipelines.
- Design and implement deep learning architectures using TensorFlow or PyTorch.
- Own data preparation, feature engineering, model training, and validation workflows.
- Write and optimize complex SQL queries for large-scale data analysis.
- Guide model evaluation, monitoring, explainability, and retraining strategies.
- Collaborate with engineering and MLOps teams to ensure scalable deployment.
- Mentor junior data scientists and provide technical leadership.
- Translate complex technical solutions into clear business recommendations.
- Stay current with advancements in ML, NLP, and GenAI technologies.
Required Skills & Qualifications :
- 7+ years of experience in Data Science, Applied ML, or AI Engineering.
- Strong expertise in Python for data science and ML development.
- Advanced SQL skills for data extraction and analytics.
- Deep understanding of machine learning algorithms and model tuning.
- Hands-on experience with NLP techniques and frameworks (spaCy, Hugging Face, NLTK).
- Strong experience in Deep Learning using TensorFlow or PyTorch.
- Practical experience with Generative AI / LLMs, prompt engineering, embeddings, and RAG.
- Solid foundation in statistics, linear algebra, and optimization techniques.