ML Platform Engineer

Estonia, Tallinn - Global Business Solution - Hybrid

We're looking for a ML Platform Engineer to join our team in Tallinn. 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.

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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 building ML systems
Familiarity with MLOps tooling
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)
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:

A value-driven work environment where people come first
A lively bunch of colleagues from over 50 different countries, with offices in Tallinn, Tartu, Lisbon, Prague, London, Dublin, New York, Florida, Riga and Berlin
A team serious about getting things done while not taking ourselves too seriously
A world-class working environment full of perks like parties, craft workshops, snacks, and, of course, office dogs
Flexible working hours as long as you’re there for your team members
Freedom to execute your ideas with a passionate and motivated team supporting you lots of room for personal and career development, with internal and external training opportunities
Competitive salary and bonus system and all the benefits you’d expect from a great employer (health and accident insurance, health days, a quarterly contribution to sports, in-house coaches, employee discounts, and more)

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 Recruitment.

#LI-Hybrid #LI-LR2

If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.

Seems like the right job for you?

Join our team and be part of the success story

Apply now

About Pipedrive