Pipedrive

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