Machine Learning Engineer II
Cleverly.ai
Full-time
Remote friendly (Lisbon, Portugal)
Worldwide
👋 Machine Learning Engineer - Hybrid (Lisbon, Portugal)
About Zendesk
Zendesk is a global software company that helps over 125,000 brands (like Airbnb, Uber, JetBrains, Slack) provide exceptional customer experiences.
About the Role
This is a hybrid role based in Lisbon, Portugal. You'll be part of our Enterprise Data & Analytics team, a high-performing group focused on building a powerful analytics foundation for Zendesk. You'll be using your expertise in machine learning and AWS to design, develop, and maintain our cloud-based machine learning infrastructure.
What you'll do:
- Design and Develop: Build and maintain our cloud-based machine learning infrastructure in AWS, ensuring scalability, performance, and security.
- Data Pipelines: Implement and manage data pipelines and machine learning workflows using tools like Astronomer, dbt, Snowflake, and AWS.
- Collaboration: Work closely with data scientists and machine learning engineers to containerize and deploy ML models effectively.
- Automation & Monitoring: Develop automation and monitoring tools to keep our ML systems running smoothly.
- Optimization: Optimize data storage and compute resources for ML workloads to ensure cost-effectiveness.
- Compliance: Ensure compliance with data governance and security policies throughout the ML model lifecycle.
- Continuous Improvement: Contribute to the ongoing improvement of our MLOps practices, including CI/CD pipelines for machine learning models.
- Stay Up-to-Date: Keep up with the latest developments in AWS services, Snowflake capabilities, and the broader ML Ops ecosystem.
What you'll bring:
- Experience: Minimum of 3 years of experience in a machine learning engineering role.
- Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- AWS Expertise: Demonstrated expertise in AWS cloud services for AI/ML, including SageMaker, Lambda, EC2, EFS, and similar AWS data services.
- Communication: Strong communication skills, both written and oral, with the ability to listen and understand the needs of various business units.
- Snowflake: Proven experience working with Snowflake for managing and processing large datasets.
- Deliverables: Demonstrated ability to deliver high-quality results on time.
- Programming: Proficiency in at least one programming language: Python, Java, Scala, or similar.
- MLOps: Experience with MLOps tools and practices, including Docker, Kubernetes, and CI/CD pipelines.
Zendesk Perks:
- Hybrid Work: Enjoy the flexibility of working remotely and collaborating in person at our Lisbon office.
- Inclusive Culture: Work in an environment that values diversity, equity, and inclusion.
- Competitive Compensation: Receive a competitive salary and benefits package.
Join Zendesk!
If you're a passionate machine learning engineer who wants to make a real impact on customer experiences, we encourage you to apply!