Manager of Artificial Intelligence

AI Lead

Experience in BFSI is Mandatory

Key Responsibilities:

1. AI Strategy & Leadership

• Define and execute the AI roadmap aligned with business objectives.
• Identify and evaluate AI use cases across business units.
• Present solution architectures, POCs, and business impact assessments to leadership.

2. Model Development & Deployment

• Lead the design, development, and deployment of ML/AI models (classification, NLP, computer vision, recommender systems, etc.).
• Ensure production-grade model performance, latency, accuracy, and interpretability.
• Integrate AI models into existing systems using MLOps best practices.

3. Technical Expertise

• Architect end-to-end ML pipelines: data ingestion, preprocessing, model training, evaluation, and monitoring.
• Apply modern AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.).
• Utilize cloud platforms (AWS/GCP/Azure) for scalable AI deployments.

4. Team Management & Mentorship

• Mentor and guide junior data scientists and engineers.
• Conduct code reviews, knowledge sharing, and promote AI best practices.
• Build a strong AI culture within the team.

5. Stakeholder Engagement

• Collaborate with product, engineering, and business teams to translate requirements into technical solutions.
• Communicate AI concepts and ROI to non-technical stakeholders.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field.
• 8–10 years of experience in data science, machine learning, or AI-focused roles.
• Proven experience leading AI projects from design to deployment.
• Proficient in Python, SQL, ML libraries (Scikit-learn, XGBoost, LightGBM), and deep learning frameworks (TensorFlow/PyTorch).
• Hands-on with GenAI, LLMs, or vector databases is a strong plus.
• Experience with Docker, Kubernetes, MLflow, Airflow, or similar tools.
• Solid understanding of data governance, AI ethics, and model interpretability.

Preferred Skills (Good to Have):

• Exposure to LLMs, Prompt Engineering, or Agentic AI Frameworks.
• Experience in BFSI, fintech, healthcare, or manufacturing domains.
• Knowledge of MLOps tools like Kubeflow, SageMaker, or Vertex AI.