Director of AI/ML

📋 Description

• Act as the functional manager for a diverse AI team comprising AI engineers, AI architects, and data engineers.

• Have comprehensive responsibilities regarding people leadership, including hiring, career advancement, technical skill enhancement, and mentorship.

• Collaborate with stakeholders across corporate functions and business units to pinpoint high-value AI use cases, convert business requirements into AI solutions, and prioritize initiatives based on their impact and feasibility.

• Guide teams through the complete AI lifecycle, encompassing problem framing, solution design, development, deployment, and continuous improvement.

• Ensure that AI solutions are scalable, reliable, explainable, adhere to responsible AI principles, and follow established MLOps practices.

• Establish success metrics and KPIs for AI initiatives; assess, communicate, and continually enhance the business value and ROI of AI projects.

• Coordinate with engineering, product, IT, security, legal, and compliance teams to deliver AI solutions efficiently. Communicate effectively and confidently with senior and executive stakeholders, translating technical concepts into business outcomes.

⛳️ Requirements

• Bachelor's Degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field AND 10 years of relevant experience OR a High School Diploma/GED with 16 years of equivalent job-related experience.

• Over 8 years of experience in AI/ML roles, demonstrating a history of delivering production AI solutions.

• A minimum of 3 years of experience in managing and developing technical teams.

• Professional proficiency in English is mandatory, with regular collaboration across global teams.

• Strong grounding in traditional AI and machine learning techniques, including deep learning, decision trees, random forests, optimization techniques, and statistical modeling.

• Practical experience with contemporary AI approaches, such as large language models (LLMs), transformer architectures, Retrieval-Augmented Generation (RAG) systems, Agentic AI, and autonomous or semi-autonomous AI architectures.

• Demonstrated ability to lead, inspire, and develop diverse technical teams.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development