We are looking for an experienced Lead Data Scientist to lead NLP and machine learning initiatives, design end-to-end AI solutions, and drive the development of production-grade models. The role combines hands-on technical work with research, solution architecture, stakeholder collaboration, and mentoring of junior data scientists and researchers.

Key Responsibilities :

- Lead the design, development, and deployment of production-grade NLP and machine learning models.

- Work with modern NLP and LLM architectures, including Transformers, RoBERTa, GPT APIs, embeddings, and hybrid AI approaches.

- Architect end-to-end AI/ML solutions from problem definition and experimentation through deployment and monitoring.

- Develop robust pipelines for model training, evaluation, versioning, deployment, and continuous monitoring.

- Define appropriate evaluation metrics and establish processes to measure model performance and reliability.

- Collaborate with product, engineering, and business stakeholders to identify use cases, define requirements, and align AI solutions with business objectives.

- Conduct research and develop PoCs to evaluate emerging AI/ML techniques and technologies.

- Mentor junior data scientists, interns, and other team members through technical guidance, code reviews, and knowledge sharing.

- Contribute to technical publications, research papers, patents, and open-source initiatives where applicable.

- Drive best practices in model development, experimentation, documentation, reproducibility, and MLOps.

Required Skills :

- Strong expertise in NLP, machine learning, and modern deep learning architectures.

- Hands-on experience with Transformers, LLMs, embeddings, and Generative AI.

- Strong programming skills in Python with experience using PyTorch, Hugging Face Transformers, or equivalent frameworks.

- Experience working with GPT APIs or other commercial/open-source LLMs.

- Strong understanding of model training, fine-tuning, evaluation, and deployment.

- Experience with data pipelines, MLOps, model versioning, and model monitoring.

- Strong analytical, problem-solving, and research capabilities.

- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

- Experience providing technical mentorship and reviewing the work of other data scientists or ML engineers.

Preferred Skills :

- Experience with vector databases such as FAISS, Pinecone, or equivalent technologies.

- Familiarity with LangChain, prompt engineering, RAG, and LLM application development.

- Experience with NLP applications such as text classification, information extraction, semantic search, summarization, or document intelligence.

- Experience managing research interns or small AI/ML teams.

- Published research in conferences or journals, or contributions to relevant open-source projects.

- Experience with cloud-based AI/ML platforms and production deployment of ML systems.

Education :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline.