Senior ML Ops Engineer, AI Platform Team

Requirements

• You'll design and implement systems and tools for scalable and more efficient machine learning solutions.
• You will work to increase the amount of data products in production reliably, reduce the time to production, and reduce operational costs.
• You'll be partnering/collaborating with product teams to bring advanced algorithms into production, following MLOps best practices.

Nice to Haves

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

What You'll Be Doing

• Data Science & MLOps: Data Scientists are close stakeholders for you. You share a genuine interest in Artificial Intelligence and Machine Learning. You bring 4+ years of experience in applying MLOps best practices at scale.
• Software Engineering: You have strong fundamentals in Computer Science and a polyglot mindset. Python is your language of choice; you are able to migrate between various programming languages though. Delivering clean code and investigating new tools, languages, and practices is your passion.
• Data Engineering: You bring previous experience in organizing and querying data at scale data warehouses, tools like Spark are not novelty for you.
• Business Experience: You possess the ability to prioritize and manage stakeholders; they know you for your good communication and collaboration skills.
• Vision: Your ideas turn into reliable and maintainable code. A track record of outcome-driven work gives evidence of this. You are experienced in operating at scale; you have a cloud DevOps / infrastructure mindset.
• Autonomy: Your mindset can be described as autonomous, proactive and customer-oriented. You own your projects.
• Teamwork: You strongly believe that a team is more than the sum of its members. Mentoring and sharing knowledge are fulfilling activities for you.

Perks and Benefits

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits