ML Ops Engineer

Catalyst Platform · Estonia

About the role

About the Role

We are looking for a talented ML Ops Engineer.

Requirements

- Snowflake - WordPress - Playwright - 2+ years experience - Remote-first mindset

Benefits

- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance

What You Will Do

As an ML Ops Engineer, you will be instrumental in developing and maintaining robust machine learning pipelines. Your responsibilities will include designing and implementing scalable data ingestion processes into Snowflake, ensuring data integrity and accessibility for model training. You will also leverage Playwright to automate the testing and deployment of machine learning models, particularly those integrated with web applications built on WordPress. This role demands a proactive approach to monitoring model performance and proactively addressing any issues within the MLOps lifecycle.

Why Join Us

Join a dynamic and forward-thinking team committed to pushing the boundaries of AI innovation. We foster a collaborative environment where continuous learning and professional development are highly valued, offering ample opportunities to expand your expertise in cutting-edge MLOps practices. This project-based remote position allows for flexible work arrangements while contributing to impactful projects that shape the future of our digital offerings.

Who You Are

We are seeking a candidate with a keen analytical mind and a passion for operationalizing machine learning. You are comfortable navigating complex data environments using tools like Snowflake and have a practical understanding of web technologies such as WordPress. Your proficiency with Playwright for automation underscores a commitment to efficiency and reliability. Above all, you are a problem-solver who thrives in a remote, project-driven setting and communicates effectively with technical and non-technical stakeholders.

Required skills

About Catalyst Platform

Catalyst Platform builds innovative insurance tech solutions for global teams.

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