ML Ops Engineer
Echo Systems · Netherlands
- Type: gig
- Location: region — Europe
- Compensation: CHF 148278–180394
- Timezone: UTC+0
About the role
About the Role
We are looking for a talented ML Ops Engineer.
Requirements
- C++ - Django - Playwright - 3+ 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 the development and deployment of our cutting-edge machine learning models. Your daily responsibilities will involve building and maintaining robust CI/CD pipelines for our Python-based Django applications, ensuring seamless integration of new ML features. You will leverage your C++ expertise to optimize performance-critical components and utilize Playwright for end-to-end testing of our model inference endpoints, guaranteeing reliability and scalability.
Why Join Us Join a dynamic and forward-thinking team where innovation thrives and your contributions directly impact impactful projects. We foster a collaborative environment that encourages continuous learning and professional growth, offering ample opportunities to expand your skillset in a remote-first setting. Be part of a company that is at the forefront of ML innovation, working with state-of-the-art technologies and solving complex challenges with a global reach.
Who You Are You are a proactive and detail-oriented engineer with a passion for bridging the gap between machine learning development and production. Your strong command of C++ for performance optimization, coupled with your experience in developing web applications with Django, makes you an ideal candidate. You possess a keen eye for quality, demonstrated through your proficiency with end-to-end testing frameworks like Playwright, ensuring the stability and trustworthiness of our ML systems.
Required skills
- C++
- Django
- Playwright
About Echo Systems
Echo Systems is a leading company in the fintech space, building innovative solutions for global teams.