ML Engineer
Description For ML Engineer
Pipedrive, a leading cloud-based software company trusted by over 100,000 companies worldwide, is seeking an experienced Machine Learning Engineer to join their AI platform team in Tallinn, Estonia. This role offers an exciting opportunity to work on cutting-edge AI/ML projects that solve real-life customer problems.
As an ML Engineer at Pipedrive, you'll collaborate with cross-functional teams to develop innovative machine learning product features, create scalable processes for reliable models, and optimize ML models for better performance. You'll be responsible for monitoring production models, ensuring efficient deployments, and maintaining data privacy and security.
The ideal candidate should have at least 3 years of experience in data science and machine learning, with strong MLOps skills and proficiency in Python, TypeScript, and SQL. Experience with LLMs, AIaaS providers, and production-ready ML frameworks is essential. You should be able to communicate complex ideas to non-technical stakeholders and thrive in a fast-paced environment.
Pipedrive offers a value-driven work environment with an international team, flexible working hours, and numerous perks. You'll have the freedom to execute your ideas and opportunities for personal and career growth. The company provides competitive compensation, including a bonus system, health insurance, and various employee benefits.
Join Pipedrive's team of over 850 people from 50+ nationalities and be part of a unicorn company that's revolutionizing the CRM industry with AI-driven solutions. If you're passionate about machine learning and want to make a real impact, this role at Pipedrive could be your next great adventure.
Responsibilities For ML Engineer
- Collaborate with cross-functional teams to develop innovative machine learning product features
- Create robust and scalable processes for generating reliable models
- Optimize ML models running in production for better performance
- Monitor production models for performance and accuracy
- Ensure error-free and efficient deployments of models
- Ensure data privacy, security, and compliance
- Help Pipedrive grow by leveraging data-driven approaches
Requirements For ML Engineer
- Minimum of 3 years in data science and machine learning
- Strong understanding and hands-on experience in MLOps
- Proficiency with production-ready ML frameworks and tools
- Experience with LLMs and AIaaS providers
- Ability to 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 and excellent communication skills
- Fluent in English
- Goal-oriented with focus on delivering high-quality results
- Ability to thrive in a fast-paced environment
- Passionate about continuous learning in machine learning engineering
Benefits For ML Engineer
- Value-driven work environment
- International team with offices in multiple countries
- World-class working environment with perks
- Flexible working hours
- Freedom to execute ideas
- Personal and career development opportunities
- Competitive salary and bonus system
- Health and accident insurance
- Health days
- Quarterly contribution to sports
- In-house coaches
- Employee discounts
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