ML Platform Engineer

Cloud-based sales and marketing software company trusted by over 100,000 companies worldwide, operating as a unicorn startup from Estonia.
Machine Learning
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
Enterprise SaaS

Description For ML Platform Engineer

Pipedrive, a successful Estonian unicorn startup valued at over $1.5B, is seeking a ML Platform Engineer to join their growing team. The company, trusted by over 100,000 companies across 179 countries, has grown from a 5-person team to an international company of 850+ people representing more than 50 nationalities.

The role focuses on building and maintaining the 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 smooth operation of machine learning systems. This position offers a unique opportunity to work with cutting-edge ML technologies while maintaining high standards of security and compliance.

The ideal candidate should have strong experience in software development, cloud computing (AWS), and distributed systems. Knowledge of Python, Go, or Scala is essential, along with experience in infrastructure as code tools. You'll be working in an international environment with teams across multiple offices, making strong communication skills crucial.

Pipedrive offers an excellent work environment with a strong focus on work-life balance. Benefits include flexible working hours, comprehensive health insurance, sports contributions, and various professional development opportunities. The company maintains offices in multiple locations including Tallinn, Tartu, Lisbon, Prague, London, and others, offering a truly international work experience.

This role presents an excellent opportunity for someone passionate about ML infrastructure who wants to make a significant impact in a rapidly growing, successful tech company. The position offers both technical challenges and professional growth opportunities in a supportive, value-driven environment.

Last updated 23 days 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 covering 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 issues related to ML model deployment
  • Participate in on-call rotation

Requirements For ML Platform Engineer

Python
Go
Scala
Redis
  • 3+ years of experience in software development
  • Experience with cloud computing infrastructure and development on AWS
  • Experience with distributed systems for large-scale data processing
  • 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
  • Health and accident insurance
  • Quarterly sports contribution
  • In-house coaches
  • Employee discounts
  • Health days
  • Competitive salary and bonus system
  • Internal and external training opportunities
  • World-class working environment with perks

Interested in this job?

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