ML Platform Engineer

We believe it takes great people to create a great product. That’s why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data, and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia.

We're looking for a ML Platorm Engineer to build and maintain our ML Platform components and frameworks used by Data Scientists and ML Engineers at Pipedrive. That includes also providing systematic approach to data, ML tooling, integrations with 3rd party service providers and technical support to any employee.

Your new adventure:

• Build and manage our cloud-based infrastructure and configuration for ML platform components on AWS. Make sure it’s secure, compliant and cost-effective
• Design and develop core parts of machine learning infrastructure covering end-to-end ML workflow
• Build and manage Feature Store platform
• Contribute to our batch and stream processing frameworks and tooling
• Build and manage ML platform components to monitor the performance and health of deployed machine learning models
• Document and communicate ML platform components, frameworks and interfaces to ensure consistency and knowledge sharing across the organization
• Troubleshoot and resolve issues related to machine learning model deployment and infrastructure
• Be on-call when it’s your turn, react to alerts and resolve production incidents

Does this sound like you?

• 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 (like Apache Spark, Apache Flink, Apache Doris, HBase, Redis)
• Experience in infrastructure as a code and configuration management tools (like Terraform, Ansible, SaltStack)
• Proficiency in one or more programming languages (preferably Python, Go, Scala)
• Experience in building ML systems (nice to have)
• Familiarity with MLOps tooling (nice to have)
• Familiarity with agile software development methods (Scrum/Kanban is preferred)
• Effective communication and collaboration skills
• Bachelor or Master in computer science, mathematics or similar relevant experience

Why Pipedrive:

• People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome
• Unlock potential – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change
• We’ve got you – Your well-being matters. Enjoy flexible hours, wellness perks and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people
• Grow with us – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability
• Packed with purpose – Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work




Pipedrive is an equal-opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status.




Based on this role's access to certain data, Pipedrive might conduct a pre-employment background investigation in conjunction with your application for employment with our company. Such data will be handled in accordance with Pipedrive's Privacy Policy for Recruiment. 




#LI-Hybrid #LI-VMUC

We're looking for a ML Platform Engineer to join our team in Tallinn or Tartu. Help us build and maintain a robust ML platform that empowers Data Scientists and ML Engineers at Pipedrive with cutting-edge tools, seamless integrations, and comprehensive support.