Build and lead AI strategy along with a research roadmap aligned with long-term business goals.
Chair the design architecture and make key technical decisions for scalable AI systems ready for production environments.
Establish standards and best practices for AI research, experimentation, model evaluation, and deployment standards.
Manage the entire lifecycle of AI solution deployment: from research, prototype development to large-scale production deployment.
Drive model optimization to ensure performance, stability, scalability, and cost efficiency.
Implement and manage MLOps frameworks and experimentation, including CI/CD, automated model retraining, and system monitoring.
Ensure the reliability, performance, and scientific rigor of AI models in real-world operational environments.
Lead and develop the AI team through structured mentoring, performance feedback, and clear career development pathways.
Collaborate closely with Product, Data, and Engineering teams to ensure AI initiatives create measurable business impact.
JOB REQUIREMENTS
Graduated with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related fields.
A minimum of 8–10+ years of experience in AI/ML development, including experience in real-world production deployment and at least 3 years in a leadership role for AI/ML teams or large-scale projects.
Experience in deploying end-to-end AI solutions from development to production deployment.
Deep understanding of designing and scaling AI systems in operational environments.
Experience working in a cross-functional environment (Product, Data Engineering, Backend, Infrastructure).
Leadership and coaching skills, with the ability to develop teams.
Strong analytical and problem-solving skills.
Good communication skills, with the ability to clearly articulate technical concepts.
Ability to work effectively with cross-departmental teams.
A strong sense of ownership, high responsibility, and results-oriented mindset.
Ability to quickly adapt and a continuous learning mindset in the ever-changing field of AI.