Key Responsibilities

• Lead end-to-end development of AI/ML solutions from problem definition to production deployment
• Architect scalable and efficient ML pipelines and data workflows
• Design and implement advanced models (NLP, Computer Vision, Recommendation Systems, etc.)
• Mentor junior engineers and guide best practices in ML development
• Collaborate with product managers, data engineers, and stakeholders to translate business problems into AI solutions
• Optimize model performance, scalability, and reliability in production
• Drive adoption of MLOps practices (CI/CD for ML, monitoring, model governance)
• Conduct research and apply cutting-edge techniques in AI/ML
• Ensure model explainability, fairness, and compliance standards

Required Skills & Qualifications

• Bachelor’s/Master’s/PhD in Computer Science, AI, Data Science, or related ...