Senior ML Ops Engineer, AI Platform Team
GetYourGuide
Seniority
Senior
Model
Hybrid
Sector
Salary
Undisclosed
Contract
Full-Time
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

