Why Cast AI?

Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically.

Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently.

Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ.

What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between.

About the role

We are looking for a Senior Machine Learning Engineer who will play a pivotal role in harnessing the power of data to drive operational excellence. You will design, develop and deploy sophisticated data models, leverage cloud-native technologies, and contribute to our DevOps and Machine Learning operations.

Requirements:

• Proven experience in applied Data Science/Machine Learning, with a strong portfolio of projects that demonstrate your expertise
• Strong programming skills in Python (proven experience with pandas, sklearn, pytorch would be a great plus) and SQL
• Proficiency in cloud-native technologies and understanding of cloud architecture (AWS, GCP, Azure, or similar)
• Solid understanding of DevOps practices, with experience in CI/CD, infrastructure as code, containerization, and orchestration (Docker, Kubernetes, or similar)
• Familiarity with ML pipeline tools and practices, including data collection, preprocessing, model training, deployment, and monitoring
• Excellent problem-solving abilities and attention to detail
• Strong communication skills and the ability to work effectively in a team-oriented setting.

Bonus points

• Experience with MLOps tools like MLflow, Feast, Kubeflow
• Experience with large-scale data processing tools like Ray, Spark, Apache Beam/Flink

Responsibilities:

• Develop and maintain ML training, validation, and deployment pipelines
• Utilize cloud-native technologies to optimize data workflows and ensure seamless integration with our existing platforms
• Participate in cross-functional projects and collaborate with various teams to achieve company goals
• Collaborate with data scientists to streamline model hand-off and production readiness.
• Stay current with the latest industry trends and advancements in data science, cloud technologies, and DevOps practices
• Ensure data compliance and security measures are upheld across all operations.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Enjoy a flexible, remote-first global environment.
• Equity options.
• Private health insurance.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement.
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.