Lead Data Scientist - NLP/Machine Learning

About the Role :

We're seeking a seasoned Lead Data Scientist to lead NLP/ML research efforts and architect end-to-end solutions.

You will be instrumental in driving innovation, mentoring junior team members, and working closely with stakeholders to align AI capabilities with strategic goals.

Key Responsibilities :

• Lead the development and deployment of production-grade NLP and ML models.

• Work with large language models (LLMs), RoBERTa, GPT APIs, and hybrid architectures.

• Guide and review the work of junior scientists and interns.

• Develop pipelines for training, evaluation, and continuous model monitoring.

• Collaborate with cross-functional teams to scope new projects and define success metrics.

• Write technical papers, PoCs, and support patentable innovations when applicable.

Required Skills :

• 5+ Years of relevant experience along with prior exposure to team leadership responsibilities.

• 5+ Years of deep knowledge of modern NLP architectures (transformers, LLMs, embeddings).

• Design, build, and deploy Generative AI models (e.g., LLMs, Diffusion Models) into production systems.

• Strong understanding of Neural Networks, Transformer models (e.g., BERT, GPT), and deep learning frameworks (e.g., TensorFlow, PyTorch).

• Proficiency in Python and ML libraries (e.g., Scikit-learn, Hugging Face, Keras, OpenCV).

• Proficiency in data pipelines, MLOps, model versioning, and evaluation frameworks.

• Ability to distill complex problems and explain them clearly to technical and non-technical audiences.

Preferred Qualifications :

• Published work in conferences/journals or experience contributing to open-source projects.

• Familiarity with vector databases (Pinecone, FAISS), LangChain, or prompt engineering.

• Experience in managing research interns or small AI/ML teams.

Education :

• Master's or PhD in Computer Science, Machine Learning, or a related field.