ML 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 an experienced machine learning engineer to join the product AI platform team  in our Tallinn office. In this role, you’ll work with our awesome team of talented individuals on cutting-edge AI/ML projects using machine learning to solve real-life customer problems. If you're someone who thrives in a fast-paced environment and loves solving complex problems, get in touch, we’d love to meet you!

• Collaborate with cross-functional teams, including data engineers, data scientists and analysts to develop innovative machine learning product features
• Create robust and scalable processes for generating reliable models that generate accurate predictions and actionable insights to support business objectives
• Optimize ML models that are running in production for better performance, latency, memory, and throughput
• Ensure that models running in production are monitored for performance and accuracy
• Ensure error-free and efficient deployments of models from development into an existing production infrastructure
• Ensure data privacy, security, and compliance with relevant regulations and best practices
• Help Pipedrive grow by leveraging data-driven approaches, optimizing processes and identifying opportunities for innovation and efficiency improvement

• Minimum of 3 years in data science and machine learning.
• Strong understanding and hands-on experience in MLOps, including productionizing ML solutions.
• Proficiency with production-ready ML frameworks and tools (e.g., Amazon SageMaker, PyTorch, ONNX Runtime).
• Experience with LLMs and AIaaS providers such as OpenAI and Anthropic.
• Ability to effectively communicate complex solution designs to non-technical stakeholders.
• Proficient in Python, Typescript, and SQL.
• Skilled in exploratory data analysis, feature engineering, and model evaluation.
• Strong can-do attitude, excellent communication skills, and openness to feedback.
• Fluent in English.
• Goal-oriented with a focus on delivering high-quality results within deadlines.
• Ability to thrive in a fast-paced, dynamic environment, adapting to changing requirements and priorities.
• Passionate about continuous learning and staying updated with advancements in machine learning engineering.

• Experience with distributed data processing systems such as Apache Spark.
• Knowledge of prompt engineering.
• Familiarity with the CRM domain.
• BSc or MSc in Computer Science, Mathematics, Statistics, or a related field, or equivalent relevant experience.

• 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)

We are seeking an experienced Machine Learning Engineer to join our AI platform team in Tallinn, where you'll collaborate on cutting-edge projects to solve real-life customer problems using advanced AI/ML techniques.