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 field
- 10 years of professional experience in AI/ML development
- Strong expertise in...