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 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
We are looking for a ML Engineer to join our team in Tallinn.
