Machine Learning Engineer

📋 Description

• Build & Scale ML Systems: Design, develop, test, deploy, and maintain machine learning
• Productionize Prototypes: Transform data science models into scalable, production-ready systems for
• Own the ML Lifecycle: Implement and manage end-to-end ML workflows using MLOps practices in both
• Collaborate Globally: Partner with data scientists, software engineers, and product experts in
• Drive Engineering Excellence: Develop and refine tools, methods, and best practices to elevate ML
• Mentor, Share & Grow: Support team development through mentoring, contribute to internal

🎯 Requirements

• Degree in computer science, engineering, statistics, or a related field (BSc, MSc, or PhD).
• 4+ years of experience in machine learning software development.
• Strong Python skills and experience with ML libraries and frameworks.
• Solid experience working in large-scale database environments.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Solid experience with production-level code quality and collaboration with software/testing

🎁 Benefits

• Exciting work environment that brings people together.
• Use the latest digital technologies.
• Ongoing trainings to support your development.
• Opportunities for personal and professional growth.
• Hybrid work
• Flexible working environment