AI Transformation Leader

We are looking for an experienced AI/ML Lead with 8-12 years of experience in designing, developing, and deploying advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in predictive analytics, Generative AI, MLOps, cloud-based AI architectures, and stakeholder management. This role requires a blend of technical leadership, business acumen, and team mentoring capabilities to drive AI initiatives that deliver measurable business impact.

Key Responsibilities

AI & Machine Learning Strategy

• Design and implement machine learning, predictive analytics, and Generative AI solutions to solve complex business problems.
  
• Lead the development of scalable AI/ML models from ideation to production deployment.
  
• Evaluate and adopt emerging AI technologies, frameworks, and best practices.
  

Architecture & MLOps

• Define AI/ML architecture and deployment strategies across cloud environments.
  
• Establish MLOps best practices for model development, testing, deployment, monitoring, and governance.
  
• Ensure scalability, reliability, and performance optimization of AI systems in production.
  

Business Alignment & Value Creation

• Collaborate with business stakeholders to identify high-impact AI use cases.
  
• Translate business objectives into AI-driven solutions with measurable ROI.
  
• Prioritize AI initiatives based on business value, feasibility, and strategic importance.
  

Data Governance & Ethical AI

• Ensure compliance with data privacy regulations and security standards.
  
• Implement responsible AI practices to address fairness, transparency, and algorithmic bias.
  
• Establish governance frameworks for AI model lifecycle management.
  

Stakeholder & Leadership Management

• Communicate complex AI concepts and technical recommendations to executive and non-technical audiences.
  
• Partner with business leaders, product teams, and engineering teams to drive successful AI adoption.
  
• Provide regular updates on AI initiatives, risks, and business outcomes.
  

Team Development & Mentoring

• Mentor and guide Data Scientists, ML Engineers, and Data Analysts.
  
• Foster innovation, collaboration, and continuous learning within the AI team.
  
• Support hiring, capability building, and technical growth of team members.
  

Project Prioritization & Delivery

• Evaluate and prioritize AI/ML projects based on strategic alignment and expected business impact.
  
• Drive end-to-end execution while ensuring timely delivery and quality outcomes.
  
• Identify and eliminate low-value initiatives early to maximize resource utilization.
  

Required Skills & Qualifications

Technical Skills

• 8-12 years of experience in Data Science, Machine Learning, AI, or related domains.
  
• Strong expertise in Machine Learning, Deep Learning, Predictive Modeling, and Generative AI.
  
• Hands-on experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, and Hugging Face.
  
• Experience with LLMs, RAG architectures, AI Agents, and prompt engineering.
  
• Strong understanding of MLOps tools and practices.
  
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  
• Knowledge of model monitoring, CI/CD pipelines, containerization, and orchestration tools (Docker, Kubernetes).
  

Leadership & Business Skills

• Strong stakeholder management and executive communication skills.
  
• Proven ability to align AI initiatives with business goals and ROI objectives.
  
• Experience leading cross-functional teams and managing multiple AI programs simultaneously.
  
• Ability to mentor and develop high-performing AI teams.
  

Preferred Qualifications

• Experience in enterprise-scale AI transformation programs.
  
• Exposure to Responsible AI and AI Governance frameworks.
  
• Relevant certifications in AI/ML, Cloud, or Data Science.
  
• Master's degree or Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.