Final is a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results. In a world increasingly dominated by learning machines and artificial intelligence, we at Final are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their well-being.

We’re looking for an experienced MLOps Engineer to join our team and help design, implement, and maintain scalable machine learning infrastructure and data processing pipelines.

The ideal candidate is passionate about operational excellence, automation, and building reliable systems that empower data scientists and engineers alike.

• This role is responsible for enhancing, automating, monitoring, and optimizing data pipelines that collect, transform, cache, index, and manage large-scale datasets.

Requirements :

• 5+ years of hands-on experience in MLOps, with a focus on Python-based ML workflows.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Solid understanding of data engineering principles, model serving, and monitoring.
• Familiarity with cloud-based AI/ML solutions, especially AWS – a strong advantage.
• Familiarity with Rust – an advantage.
• Strong interpersonal skills.
• Technologically versatile, quick learning.
• Strong drive to build robust, sustainable solution