ML Engineer
Czech Republic, Prague
Pipedrive
Pipedrive is the easy-to-use, #1 user-rated CRM tool. Get more qualified leads and grow your business with our sales CRM. Sign up for a 14-day free trial.We're looking for an experienced machine learning engineer to join the product AI platform team in our Prague 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!
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.
- 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.
Bonus Skills:
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
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Anthropic Computer Science Data analysis EDA Engineering Feature engineering LLMs Machine Learning Mathematics ML models MLOps ONNX OpenAI Privacy Prompt engineering Python PyTorch SageMaker Security Spark SQL Statistics TypeScript
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Medical leave Salary bonus
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