ML Engineer
Description For ML Engineer
Pipedrive, a unicorn company from Estonia with Vista Equity Partners backing, is seeking a Machine Learning Engineer to join their product AI platform team in Tallinn. This role offers an exciting opportunity to work on cutting-edge AI/ML projects that solve real customer problems in the sales and marketing software space. The company has grown impressively since 2010, now serving over 100,000 companies across 179 countries with a diverse team of 850+ people from 50+ nationalities.
The position requires a skilled professional with 3+ years of experience in data science and machine learning, who will be responsible for developing and optimizing ML models, ensuring their efficient deployment and monitoring in production. The ideal candidate should be proficient in Python, TypeScript, and SQL, with strong experience in MLOps and modern ML frameworks like Amazon SageMaker and PyTorch.
Working at Pipedrive offers a unique blend of technical challenges and professional growth opportunities. The company provides a value-driven work environment with competitive compensation, comprehensive benefits, and a strong focus on work-life balance. Team members enjoy flexible working hours, health benefits, professional development opportunities, and a vibrant international workplace culture.
The role combines technical expertise with business impact, as you'll be working closely with cross-functional teams to develop innovative machine learning features that directly affect customer success. This is an excellent opportunity for someone who wants to work with modern AI technologies while contributing to a rapidly growing global software company.
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 for better performance, latency, memory, and throughput
- Monitor production models for performance and accuracy
- Ensure error-free and efficient model deployments
- Ensure data privacy, security, and compliance
- Help optimize processes and identify opportunities for innovation
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 (Amazon SageMaker, PyTorch, ONNX Runtime)
- Experience with LLMs and AIaaS providers like OpenAI and Anthropic
- Proficient in Python, Typescript, and SQL
- Skilled in exploratory data analysis, feature engineering, and model evaluation
- Fluent in English
- Strong communication skills and openness to feedback
- Goal-oriented with focus on delivering high-quality results
Benefits For ML Engineer
- Flexible working hours
- Health and accident insurance
- Health days
- Quarterly sports contribution
- In-house coaches
- Employee discounts
- Competitive salary and bonus system
- Internal and external training opportunities
- International work environment
- Modern office with perks (snacks, office dogs)
- Multiple office locations worldwide
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