Senior Machine Learning Engineer

Requirements:

• 5 + years of experience as an engineer in the machine learning domain
• 5 years of experience with one or more general-purpose programming languages such as Java, C/C++, or Python
• 5 years of experience in software development
• 5 years of experience testing, launching software products, and 3 years of experience with software design and architecture
• Experience building and deploying Machine Learning systems in production
• Experience with ML design and infrastructure
• Experience with big data and data engineering principles
• Strong familiarity with data science toolkit in Python
• Experience with ML infrastructure components (e.g., k8s, docker, airflow)
• Proactive approach in projects and strong communication skills

Nice to Have:

• Experience with distributed GPU compute environments
• Experience with a Machine Learning 'Feature Store'

What You'll Be Doing:

• Develop and maintain production ML pipelines
• Identify and fix performance bottlenecks
• Collaborate with software engineers and data scientists
• Support good engineering practices
• Collaborate with MLOps and platform teams

Perks and Benefits:

• Ambitious and supportive work culture
• Ongoing opportunities for career development
• Empowerment to own your career
• Innovative and ethical work environment
• Potential for international relocation