ML Platform Engineer

Pipedrive, a unicorn company valued at over $1 billion and trusted by 100,000+ companies globally, is seeking a ML Platform Engineer to join their diverse team in Prague. As a key member of the Data Engineering team, you'll be responsible for building and maintaining the ML Platform components that power Pipedrive's machine learning capabilities. The role combines expertise in ML systems, cloud infrastructure, and distributed computing to create robust, scalable solutions.

The position offers an opportunity to work with cutting-edge ML technologies while being part of a company that has grown from a 5-person startup to an international organization with over 850 employees across 50 nationalities. You'll be working in a value-driven environment that emphasizes both technical excellence and work-life balance.

Key responsibilities include managing AWS-based ML infrastructure, developing end-to-end ML workflows, and ensuring the platform's security and cost-effectiveness. You'll also be instrumental in building and maintaining the Feature Store platform and contributing to both batch and stream processing frameworks.

The ideal candidate brings 3+ years of software development experience, strong knowledge of cloud computing (particularly AWS), and expertise in distributed systems and ML. You'll be working with technologies like Apache Spark, Flink, and modern MLOps tools, using languages such as Python, Go, and Scala.

Benefits include flexible working hours, comprehensive healthcare, retirement savings, and various lifestyle perks including access to a custom-designed Prague office with a free sauna. The company strongly values diversity and provides extensive opportunities for personal and professional growth through internal and external training programs.