Machine Learning Engineer

Requirements

• Proficient in Python with extensive production experience
• Advanced knowledge of Docker and Kubernetes
• Advanced understanding of development patterns, databases, algorithms, and machine learning

What You'll Be Doing

• Designing, building, and maintaining components of ML platforms for scalability, reliability, and performance
• Developing high-quality, production-grade software using Python
• Containerizing and orchestrating applications with Docker and Kubernetes
• Applying advanced software development patterns to ensure clean, maintainable, and reusable code
• Working with databases to ensure data integrity and efficient queries
• Optimizing algorithms and workflows for performance and cost efficiency
• Collaborating with global teams on technical design reviews and code reviews
• Mentoring junior engineers and shaping engineering culture and best practices

Perks and Benefits

• Opportunity to work with cutting-edge ML platform technologies
• Hybrid work model with flexibility to collaborate remotely and on-site
• Exposure to a diverse, multicultural environment
• Growth opportunities toward Principal Engineer (Level 6) and leadership tracks