Lead the iterative development, validation, and deployment of AI/ML models across the organization, ensuring continuous improvement and scalability
Job Summary
Lead the iterative development, validation, and deployment of AI/ML models across the organization, ensuring continuous improvement and scalability.
Drive the development and deployment of Generative AI applications, tools, and frameworks that solve critical business challenges.
Coach and mentor a growing team of data scientists and engineers, fostering a culture of continuous learning and innovation, and identifying future leaders within the organization.
Matching Summary
Lead the iterative development, validation, and deployment of AI/ML models across the organization, ensuring continuous improvement and scalability.
Skills & Requirements
Must-have
AI/ML model development and deployment
Generative AI applications
Python and data science libraries
Machine learning algorithms
Cloud platforms (GCP, AWS, Azure)
MLOps and software development skills
Nice-to-have
Entrepreneurial and outcome-driven culture
Failing fast approach
Data-product-oriented culture
Agile methodology
Start-up environment experience
Key Requirements
10+ years of hands-on experience in ML/AI/data analysis
Strong expertise in Python
Proficiency in SQL
Experience with cloud platforms
Experience with ML frameworks
Understanding of software and AI development lifecycles