ML Engineer Section Head

Responsibilities

• Leading and directing a team of machine learning engineers in the development and implementation of Data Science (DS) and Machine Learning (ML) models.
• Developing strategies and roadmaps for machine learning initiatives within the company.
• Collaborating with data science, product, and engineering teams to identify opportunities for ML application.
• Monitoring and evaluating team performance while providing necessary feedback and guidance.
• Ensuring the quality and accuracy of DS and ML models developed by the team.
• Managing ML projects from conception to implementation, ensuring they are completed on time and within budget.
• Providing input regarding cost efficiency in the maintenance of data infrastructure.

• Bachelor s degree in Computer Science, Informatics Engineering, or related
• A master s degree is preferred
• Minimal 4 years in applied ML/DS with at least 2 years experience in leadership role.
• Proven experience in leading machine learning project and managing a team of data machine learning engineer.
• Hands-on experience building, validating, and deploying ML models (supervised, unsupervised, deep learning).
• Proven track record managing ML projects end-to-end on time and on budget.
• Excellent cross-functional communication and stakeholder management.
• Focus on model quality, governance, scalability, and cost-efficient infrastructure decisions.