Senior ML Ops Engineer, AI Platform Team

Your toolkit:

• 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. ### Extras that give you an edge:

• Prior experience in scale-up environments with various technologies