Machine Learning Engineer - ML Ops

Builder.ai is a rapidly growing company on a mission to democratize app building. As a Machine Learning Engineer - ML Ops, you'll be part of the Intelligent Systems Group, maintaining and expanding an ecosystem of microservices. Your role will be at the intersection of data science and development operations, focusing on ensuring robustness and scalability of AI-based APIs, as well as data and model training pipelines.

You'll work with a diverse, collaborative team of over 800 people worldwide, united by Builder's HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. The company encourages experimentation and offers unlimited opportunities to learn and progress.

Key responsibilities include:

• Supporting data scientists in developing AI-based APIs
• Designing, implementing, deploying, and maintaining microservices infrastructure
• Managing data and model training pipelines
• Ensuring robustness and scalability of AI-based solutions

The ideal candidate should have:

• A degree in Computer Science or Software Engineering (BSc or higher)
• Strong Python coding experience
• Experience with SQL, Docker, and CI/CD workflows
• Knowledge of software engineering best practices
• Excellent communication skills and a drive to learn

You'll work with technologies like Python, SQL, Git/Gitlab, Terraform, Docker, Kubernetes, and cloud platforms (AWS, Azure). Experience with graph databases, Linux, and open-source technologies is a plus.

Builder.ai offers attractive benefits, including stock options, generous leave, private medical and dental insurance, and more. Join a company recognized as one of 2023's 'Most Innovative Companies in AI' by Fast Company and help shape the future of app development!