Senior ML Ops Engineer, AI Platform Team

About the role

As a Senior MLOps Engineer, you'll join our AI Platform Team and have a chance to make an enormous impact across all of our data products. You'll work closely with our Data Products teams to build systems that enable ML/AI algorithms to go to production.

What you'll do

• Design and implement systems and tools for scalable and more efficient machine learning solutions.
• Work to increase the amount of data products in production reliably, reduce the time to production, and reduce operational costs.
• Partner/collaborate with product teams to bring advanced algorithms into production, following MLOps best practices.

What you'll need

• 4+ years of experience in applying MLOps best practices at scale, with a genuine interest in AI and Machine Learning.
• Strong fundamentals in Computer Science and a polyglot mindset; Python is your language of choice.
• Previous experience in organizing and querying data at scale; tools like Spark are not a novelty for you.
• Ability to prioritize and manage stakeholders with good communication and collaboration skills.
• Cloud DevOps / infrastructure mindset; experienced in operating at scale with a track record of outcome-driven work.
• Autonomous, proactive and customer-oriented mindset; you own your projects.
• Strong belief in teamwork; mentoring and sharing knowledge are fulfilling activities for you.

Nice to have

• Prior experience in scale-up environments with various technologies
• Interest in LLMs and the new challenges of Generative AI

What they offer

• Annual personal growth budget and mentorship programs
• Work from anywhere in the world for 30 days per year
• Hybrid working: three days in-office (Mon, Tue, Thu), two days optional remote
• Monthly transportation and fitness budget
• Language reimbursement program
• Health and wellness benefits