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Machine Learning Engineer

Pipedrive

Join Our Team as a Machine Learning Engineer

Pipedrive is seeking a talented Machine Learning Engineer to join our dynamic team in Tallinn. As a Machine Learning Engineer, you will play a crucial role in transforming sophisticated data science prototypes into production-ready ML solutions. You will be responsible for deploying these solutions on our existing infrastructure and ensuring their optimal performance.

Your New Adventure

  • Deploy ML Models: Ensure error-free and efficient deployments of ML models from development into production infrastructure.
  • Automate Data Pipelines: Automate data pipelines for both online and offline features used by ML models.
  • Optimize Performance: Optimize ML models running in production for better performance, latency, memory, and throughput.
  • Monitor Models: Ensure that ML models in production are monitored for performance and accuracy.
  • Data Privacy and Security: Ensure data privacy, security, and compliance with relevant regulations and best practices.
  • Troubleshoot Issues: Troubleshoot and resolve issues related to ML models’ output and performance.
  • Build ML Platform Components: Contribute to building and managing ML platform components to monitor the performance and health of deployed models and automate repeatable processes in ML workflows.
  • On-Call Duties: Be on-call when it’s your turn, react to alerts, and resolve production incidents.

Does This Sound Like You?

  • Experience: 3+ years of engineering experience with distributed data processing systems.
  • ML Lifecycle: Conceptual understanding of the ML development lifecycle and hands-on experience with productionizing ML solutions.
  • ML Tools: Experience with ML algorithms, frameworks, and tooling such as Amazon SageMaker, TensorFlow, PyTorch, and scikit-learn.
  • Programming Skills: Proficient in a programming language, preferably Python.
  • Data Modeling: Experience in SQL and data modeling.
  • Agile Methodologies: Familiarity with agile methodologies.
  • Communication Skills: Excellent communication and writing skills.
  • Educational Background: A background in computer science, mathematics, statistics, or a related field is a plus.

Why Pipedrive?

  • Value-Driven Environment: A work environment where people come first.
  • Diverse Team: A lively bunch of colleagues from over 50 different countries.
  • Work-Life Balance: Flexible working hours and a world-class working environment full of perks.
  • Career Development: Lots of room for personal and career development, with internal and external training opportunities.
  • Comprehensive Benefits: Competitive salary and bonus system, health and accident insurance, and more.

Pipedrive is an equal-opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity, or veteran status.

Join us and be a key player in shaping the future of our ML capabilities!

Benefits
Extracted with AI

  • Flexible working hours
  • Competitive salary and bonus system
  • Health and accident insurance
  • Quarterly contribution to sports
  • In-house coaches
  • Employee discounts
  • Internal and external training opportunities

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