Job Description
- 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 concept to implementation, ensuring they are completed on time and within budget.
- Providing input regarding cost efficiency in the maintenance of data infrastructure.
Requirements
- 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.
- Handson experience building, validating, and deploying ML models (supervised, unsupervised, deep learning).
- Strong MLOps skills: CI/CD, model versioning, monitoring, A/B testing.
- Proven track record managing ML projects endtoend on time and on budget.
- Excellent crossfunctional communication and stakeholder management.
- Focus on model quality, governance, scalability, and costefficient infrastructure decisions.
Employment Type: Full-time
