ML Platform Engineer

A cloud-based software company trusted by over 100,000 companies, providing sales and marketing tools since 2010.
Machine Learning
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
AI · Enterprise SaaS

Description For ML Platform Engineer

Pipedrive, a unicorn company valued at over $1B and trusted by 100,000+ companies worldwide, is seeking a ML Platform Engineer to join their Prague office. Since 2010, Pipedrive has grown from a 5-person team to an international company of 850+ people across Europe and the US, recently receiving major investment from Vista Equity Partners.

The role focuses on building and maintaining ML Platform components and frameworks used by Data Scientists and ML Engineers. You'll be responsible for developing cloud-based infrastructure on AWS, managing Feature Store platform, and ensuring the entire ML workflow is efficient and scalable. The position requires expertise in distributed systems, infrastructure as code, and programming languages like Python, Go, or Scala.

This is an excellent opportunity for a mid-level engineer with 3+ years of experience who wants to work at the intersection of ML infrastructure and platform engineering. The role offers a blend of technical challenges, from building monitoring systems to maintaining batch and stream processing frameworks.

Pipedrive offers an inclusive, people-first culture where different perspectives are valued. The company provides comprehensive benefits including flexible hours, wellness perks, various leave options, and strong career development opportunities through mentorship and coaching. You'll be part of a mission to help small and medium-sized businesses grow while working with cutting-edge technologies in an AI-first environment.

The position is hybrid-based in Prague, offering the flexibility to balance office and remote work. You'll join a global team that values authenticity, collaboration, and continuous learning, with clear paths for growth and development. If you're passionate about ML infrastructure and want to make a meaningful impact while working with the latest technologies, this role presents an exciting opportunity to shape the future of sales and marketing tools.

Last updated 13 hours ago

Responsibilities For ML Platform Engineer

  • Build and manage cloud-based infrastructure and configuration for ML platform components on AWS
  • Design and develop core parts of machine learning infrastructure for end-to-end ML workflow
  • Build and manage Feature Store platform
  • Contribute to batch and stream processing frameworks and tooling
  • Build and manage ML platform components to monitor model performance
  • Document and communicate ML platform components
  • Troubleshoot and resolve deployment and infrastructure issues
  • Participate in on-call rotation

Requirements For ML Platform Engineer

Python
Go
Scala
Redis
  • 3+ years of software development experience
  • Experience with cloud computing infrastructure and AWS
  • Experience with distributed systems (Apache Spark, Flink, Doris, HBase, Redis)
  • Experience in infrastructure as code and configuration management tools
  • Proficiency in Python, Go, or Scala
  • Bachelor or Master in computer science, mathematics, or similar
  • Effective communication and collaboration skills
  • Familiarity with agile software development methods

Benefits For ML Platform Engineer

Medical Insurance
  • Flexible working hours
  • 28 paid leave days
  • Well-being days
  • Compassionate leave
  • Pawternal leave
  • Performance-based bonuses
  • Wellness perks
  • SWAG
  • Mentorship and coaching opportunities
  • Internal mobility

Interested in this job?

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