Assistant Vice President - Data Science & Artificial Intelligence

Key Responsibilities :

- Lead and manage the AI/ML team in designing, developing, and deploying advanced machine learning and LLM-based solutions.

- Develop RAG systems and other NLP/AI applications to improve business intelligence and decision-making.

- Oversee end-to-end MLOps processes, including model development, versioning, deployment, monitoring, and scaling.

- Ensure efficient integration of AI solutions into business applications and workflows.

- Collaborate with product, engineering, and business teams to align AI initiatives with organizational objectives.

- Evaluate emerging AI/ML technologies, frameworks, and tools (e.g., Hugging Face, TensorFlow, PyTorch) to continuously improve solutions.

- Establish best practices for data handling, model training, evaluation, and ethical AI usage.

- Provide technical mentorship and strategic guidance to junior data scientists and AI engineers.

Core Skills :

- Large Language Models (LLMs) & RAG systems

- NLP & Predictive Modeling

- MLOps & Model Lifecycle Management

- Cross-functional Leadership & Strategic Thinking

Technical Skills :

- NLP & LLM Tools : Hugging Face Transformers, RAG frameworks

- Cloud Platforms : GCP, AWS, Azure

- Workflow & MLOps Tools : MLflow, Airflow, Docker, Kubernetes

- Data Handling : SQL, Pandas, NumPy, BigQuery, or similar

Education & Experience :

- 5+ years of experience in AI/ML with hands-on expertise in LLMs, RAG, and MLOps.

- Proven experience in cloud-based AI/ML deployments and managing high-performing technical teams.

KPIs / Success Metrics :

- Efficiency and scalability of MLOps pipelines.

- Business impact from AI/ML initiatives (e.g., automation, revenue growth, process improvement).

- Number of successful AI/ML projects delivered within timelines.

- Adoption and integration rate of AI solutions across business units