We are seeking a skilled and motivated ML Ops Engineer with a minimum of 3 years of experience in Software. Join our team and contribute to the deployment and optimization of machine learning models within a dynamic cloud environment, primarily utilizing AWS services. If you are passionate about driving efficiency in ML workflows, possess a strong foundation in Python, and thrive in collaborative, multicultural teams, this role offers a unique opportunity for impactful contributions.

Who you are:

• Proficient in Python.
• Ability to write clean, modular, and testable code.
• Industry experience in developing and deploying machine learning models within a cloud environment, particularly AWS.
• Skilled in designing, building and maintaining enterprise-grade machine learning and data platforms.
• Excellent oral and written communication skills in English, passionate about collaborating with engineers to enhance system usability.
• Independent engineer capable of taking ownership of projects from conceptualization to design and final implementation.
• Possess a Master’s degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, etc.).

Nice to have:

• Experience with build automation technologies like Gitlab CI.
• Proficiency in orchestration technologies such as Docker and Kubernetes.
• Expertise in building HTTP and GRPC APIs.
• Experience with ML Ops tools such as ML Flow, Feast, and Airflow.
• Familiarity with agile methodologies and experience working in a remote and asynchronous team environment.

What you might like about this role:

• Collaboration on ML patent submissions and active engagement in weekly ML or engineering research paper review meetings.
• Work within a collaborative and multicultural team, receiving reliable engineering support.
• Enjoy a high degree of freedom and trust in delivering agreed-upon results using your preferred methods.
• Competitive package with stock options.
• Generous leave policy, including 25 vacation days and an additional 5 paid sick days.
• Clearly defined projects with solid support from the product team, prioritizing internal projects for improving developer’s experience.
• Short approval processes to streamline project implementation.
• Emphasis on protecting your focus time, offering a healthy meeting policy with clear agendas.
• If in the office, enjoy a calm environment composed of engineers only.
• Flexible working hours, with remote work and home office options.