ML Platform Engineer

Cloud-based sales and marketing software company trusted by over 100,000 companies worldwide, operating 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 from Estonia with Vista Equity Partners backing, is seeking a ML Platform Engineer to join their dynamic team. This role is crucial in building and maintaining the machine learning infrastructure that powers their successful sales and marketing software platform, used by over 100,000 companies globally.

The position offers an exciting opportunity to work with cutting-edge ML technologies and distributed systems at scale. You'll be responsible for developing and managing the entire ML infrastructure stack, from feature stores to model monitoring, ensuring robust and efficient ML operations. The role combines technical expertise in ML systems, cloud infrastructure (AWS), and software development.

Working at Pipedrive means joining a truly international company with over 850 employees from 50+ nationalities. The company culture emphasizes value-driven work environment where people come first, offering a perfect balance of serious work commitment and a relaxed atmosphere. They provide comprehensive benefits including health insurance, flexible working hours, and various personal development opportunities.

The ideal candidate should have strong experience in software development, cloud computing, and ML systems, with proficiency in Python, Go, or Scala. This role offers an excellent opportunity for someone passionate about ML infrastructure who wants to make a significant impact in a rapidly growing global tech company.

If you're excited about building scalable ML platforms and want to be part of a company that's transforming the sales and marketing software industry while maintaining a strong focus on employee well-being and professional growth, this role at Pipedrive could be your perfect next career move.

Last updated 5 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 and health
  • Document and communicate ML platform components and frameworks
  • Troubleshoot and resolve issues related to ML model deployment
  • Participate in on-call rotation for production incidents

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 building ML systems
  • Familiarity with MLOps tooling
  • Experience in infrastructure as code and configuration management tools
  • Proficiency in Python, Go, or Scala
  • Familiarity with agile software development methods
  • Effective communication and collaboration skills
  • Bachelor or Master in computer science, mathematics or similar relevant experience

Benefits For ML Platform Engineer

Medical Insurance
  • Flexible working hours
  • Health and accident insurance
  • Health days
  • Quarterly contribution to sports
  • In-house coaches
  • Employee discounts
  • Competitive salary and bonus system
  • Internal and external training opportunities
  • International work environment with 50+ nationalities
  • Modern office with perks like parties, craft workshops, and snacks

Interested in this job?

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