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.
In this role you will transform more sophisticated data science prototypes with the mix of standard and non-standard components into production-ready ML solutions and deploy on existing infrastructure. Join us and be a key player in shaping the future of our ML capabilities!
Your new adventure:
- Ensure error-free and efficient deployments of ML models from development into an existing production infrastructure
- Automate data pipelines for online and offline features used by ML models
- Optimize ML models that are running in production for better performance, latency, memory, and throughput
- Ensure that ML models running in production are monitored for performance and accuracy
- Ensure data privacy, security, and compliance with relevant regulations and best practices
- Troubleshoot and resolve issues related to ML models’ output and performance
- Contribute to building and managing ML platform components to monitor the performance and health of deployed machine learning models and automate repeatable processes in ML workflows
- Be on-call when it’s your turn, react to alerts, and resolve production incidents
Does this sound like you?
- 3+ years of engineering experience
- Experience with distributed data processing systems
- Conceptual understanding of ML development lifecycle and hands-on experience with productionising ML solutions
- Experience with ML algorithms, frameworks, and tooling (e.g., Amazon SageMaker, TensorFlow, PyTorch, scikit-learn)
- Proficient in a programming language preferably Python
- Experience in SQL and data modeling (including toolset)
- Familiarity with agile methodologies
- Excellent communication and writing skills
- Educational background in computer science, mathematics, statistics, or a related field is a plus
Why Pipedrive:
- A value-driven work environment where people come first
- A lively bunch of colleagues from over 50 different countries, with offices in Prague, Tallinn, Tartu, Lisbon, London, Dublin, New York, Florida, Riga and Berlin
- A team serious about getting things done while not taking ourselves too seriously
- Freedom to execute your ideas with a passionate and motivated team supporting you
- A place in our new and custom-designed Prague office (free sauna included)
- Flexible working hours as long as you’re there for your team members
- Lots of room for personal and career development with internal and external training opportunities
- Competitive salary including all the benefits you’d expect from a great employer (25 days of vacation + 5 health days per year, private medical care, meal allowance for each workday in the Prague office, a monthly contribution for sports, books, and entertainment via the Benefitka card, 365-day Prague public transport ticket, paid sick leave days, retirement fund savings and extra vacation days as a tenure benefit)
Pipedrive is an equal-opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disablity, sexual orientation, gender identity or veteran status.
#LI-Hybrid #LI-VMUC
We are looking for an ML Engineer to join our team in Prague!
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.
