Machine Learning Engineer

We are looking for a Machine Learning Engineer to join our growing engineering team, building and scaling next-generation Machine Learning (ML) platforms. In this role, you will be a key contributor to designing, implementing, and optimising complex distributed systems that power large-scale ML workloads. You will work in a multicultural, hybrid environment, collaborating with cross-functional teams across engineering, data science, and platform operations.

As a senior engineer, you are expected to take technical ownership of components, mentor peers, and contribute to setting engineering standards and practices.

Responsibilities

• Design, build, and maintain components of ML platforms with a focus on scalability, reliability, and performance.
• Develop high-quality, production-grade software using Python.
• Containerise and orchestrate applications with Docker and Kubernetes.
• Apply advanced software development patterns to ensure clean, maintainable, and reusable code.
• Work with relational and non-relational databases, ensuring data integrity and efficient queries.
• Optimize algorithms and workflows for performance and cost efficiency.
• Collaborate with global teams, contributing to technical design reviews, architecture discussions, and code reviews.
• Prepare architecture documents and proposals concerning various features that need to be implemented onto the incumbent ML platforms
• Mentor junior engineers and help shape engineering culture and best practices.

Technical Skills

• Python: Proficient, with extensive experience in production environments.
• Docker: Advanced knowledge of containerization, image optimization, and best practices.
• Kubernetes (K8s): Advanced experience in deploying, scaling, and managing workloads.
• Development Patterns: Advanced understanding of design patterns, clean architecture, and software engineering principles.
• Databases: Advanced experience with SQL/NoSQL databases, schema design, and optimization.
• Algorithms: Advanced knowledge of core algorithms (sorting, searching, traversal etc) and ability to apply them to practical problems.
• Machine Learning: Advanced knowledge and working experience with machine learning services, model pipelines and their optimization

• Strong problem-solving abilities with a focus on delivering scalable solutions.
• Experience working in multicultural teams and hybrid work environments.
• Ability to communicate complex technical ideas clearly to both technical and non-technical audiences.
• A proactive mindset, ownership of work, and willingness to mentor peers.

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

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