Director, Data Science (Agentic AI, RAG pipelines, LLM, ML, NLP)

• Harness advanced technologies to extract, interpret, and visualize insights from large volumes of structured and unstructured data
• Collaborate with stakeholders to design, develop, and implement cutting-edge solutions that deliver insights through Machine Learning , Deep Learning , and Generative AI techniques
• Innovate in text analytics and develop creative approaches for interpreting complex datasets to deliver impactful recommendations
• Own high-visibility programs that translate business objectives into measurable results such as improved engagement, retention, and cost efficiency
• Build text analytics and knowledge retrieval capabilities for large-scale unstructured data to generate accurate, explainable insights
• Define standards for evaluation, guardrails, prompt engineering, retrieval quality, and hallucination control to ensure trustworthy AI
• Enforce best practices in documentation, code reuse, and model lifecycle management while enhancing algorithms to meet evolving needs
• Ensure responsible AI practices covering data privacy, IP, safety, and auditability
• Mentor and develop a high-performing team of data scientists, fostering a culture of innovation and impact

Experience:

• Overall: 9-11 years in data science/AI/ML roles
• Hands-on: 6+ years applying ML/DL, NLP, and LLMs to real-world business problems, including text mining and unstructured data analysis

• Education: Bachelor s or masters in Computer science, Engineering, Statistics, Mathematics, or related field from a reputed college

Technical Skills:

• Expertise in Agentic AI , RAG pipelines , LLMs , prompt engineering , knowledge graphs and evaluation frameworks
• Well-versed in a wide range of ML algorithms, advanced statistics, and natural language processing
• Expertise with LLM customization techniques (RAG, tuning, advanced prompting, etc)
• Advanced proficiency in Python and SQL , with strong experience in libraries such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SpaCy, NLTK
• Hands-on experience with vector databases (FAISS, pgvector etc)
• Practical experience with cloud platforms ( Azure/AWS ) or GCP for model training, deployment, and scaling
• Familiarity with distributed computing (Spark/Databricks)
• Strong background in data preparation, cleaning, normalization, and handling large-scale unstructured text data
• Knowledge of responsible AI, privacy, auditability, and code management using GitHub/Bitbucket
• Basic visualization skills in Excel, Power BI, or Streamlit for dashboards and insights
• Passionate leader with a strong appetite for learning and applying emerging AI and data science technologies. Experience in analysing unstructured data and building scalable solutions
• Ability to foster innovation and drive adoption of next-generation AI tools for impactful business outcomes
• Strong knowledge of model serving, monitoring and evaluation frameworks
• Proven expertise with vector databases, knowledge databases, embeddings, feature stores
• Soft Skills: Excellent communication, stakeholder management, problem-solving, and ability to work in fast-paced, milestone-driven environments

• Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
• Collaborative, team-oriented culture that embraces diversity
• Professional development and unlimited growth opportunities