ML Engineer

Your new adventure:

• 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

Does this sound like you?

• 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.


Bonus Skills:
• 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.

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.


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