Head of AI

• A hands-on leader with deep expertise in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI systems.
  
• 10+ years of experience in Analytics/AI/ML, with at least 3 years in a leadership role.
  
• Strong background in ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
  
• Expertise in LLMs and Generative AI (GPT, T5, DALL-E, Llama, Claude, etc.).
  
• Proven experience in ML model development, training, deployment, and monitoring .
  
• Experience with MLOps, CI/CD for ML pipelines, and AI governance frameworks .
  
• Strong programming skills in Python, R, or Julia and experience with cloud-based AI platforms (AWS, Azure, GCP).
  
• Deep understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) .

Key Responsibilities:

1. Strategic Leadership & AI Architecture:

• Define and execute the AI strategy in alignment with business goals and market trends.
  
• Architect and oversee the development of end-to-end AI/ML solutions , including traditional ML models, deep learning systems, and Generative AI frameworks.
  
• Develop Agentic AI systems that autonomously process information, make decisions, and execute tasks efficiently.
  
• Lead the integration of AI with enterprise data systems , ensuring scalability, reliability, and compliance.
  
• Establish best practices for MLOps, model deployment, monitoring, and governance .

2. Client Engagement & AI Solutioning:

• Serve as a thought leader and trusted advisor for enterprise clients on AI/ML strategies and solutions.
  
• Independently engage with clients to assess AI maturity, define AI roadmaps, and propose innovative AI-driven transformations.
  
• Conduct client workshops and AI PoCs to demonstrate the business value of AI applications.
  
• Collaborate with cross-functional teams, including data engineering and software development, to deliver AI-powered enterprise solutions.

3. Technical Expertise & Hands-on Execution:

• Design and implement AI/ML models using state-of-the-art techniques in deep learning, NLP, computer vision, and reinforcement learning.
  
• Develop and optimize LLM-based applications , fine-tune foundation models, and explore AI explainability techniques.
  
• Architect Generative AI solutions using models like GPT, BERT, Stable Diffusion, and multimodal AI approaches.
  
• Drive research and implementation of autonomous AI agents that interact with users, applications, and environments.
  
• Optimize AI performance, ensuring solutions are scalable, efficient, and aligned with business objectives .

4. Team Building & Leadership

• Hire, mentor, and lead a high-performing team of AI engineers, data scientists, and ML engineers.
  
• Foster a culture of innovation, experimentation, and ethical AI practices.
  
• Define team goals, establish KPIs, and ensure continuous learning and upskilling within the team.

What will excite us:

• Knowledge of Autonomous Agents and Multi-Agent AI Systems is a strong plus.
  
• Experience leading AI/ML teams and driving AI-first initiatives.
  
• Proven ability to engage with C-level executives and clients , translating business challenges into AI solutions.
  
• Strong analytical, problem-solving, and decision-making skills.
  
• Ability to handle complex AI challenges in high-scale enterprise environments .

What will excite you:

• Lead AI innovation in a fast-growing, technology-driven organization.
  
• Work on cutting-edge AI solutions, including LLMs, autonomous AI agents, and Generative AI applications .
  
• Engage with top-tier enterprise clients and drive AI transformation at scale.