AI Machine Learning Engineer

As an AI Machine Learning Engineer, you will be responsible for developing and deploying complex AI initiatives, applying deep engineering rigor to build scalable, reliable systems that solve real-world R&D challenges.

Requirements

• Advanced AI/ML Engineering & Software Craftsmanship
• Production-Level Programming: Senior proficiency in Python
• System Design: Solid understanding of modern AI/ML architectures and data platforms
• Modeling Depth: Deep knowledge of AI/ML algorithms and the mathematical foundations required to tune models for high-precision R&D use cases
• Data Engineering: Proficiency in handling data structures and pipelines to ensure model inputs are reliable and optimized
• Advanced MLOps & Cloud Infrastructure
• Azure: Hands-on experience with the Azure ML SDK/CLI or Azure Databricks
• CI/CD: Experience building and maintaining deployment pipelines using Azure DevOps or automation in Gitlab
• Containerization: Proficiency in Docker for packaging and scaling AI/ML workloads within cloud-native environments
• Observability & Reliability: Ability to implement monitoring for system health (latency/CPU) and model performance (drift, accuracy, and data quality)
• Professional Collaboration
• Agile Methodology: Experience working within an Agile/Scrum framework to deliver consistent project velocity
• Technical Translation: Ability to communicate complex trade-offs clearly to non-technical stakeholders
• Project Delivery: Proven track record of taking ML models from a research phase to a stable production environment

Benefits

• Competitive compensation package
• Yearly education budget
• Yearly sport budget
• Flexible working culture
• International, knowledgeable, and passionate team with a strong collaborative mindset