Senior ML Ops Engineer(m/w/x)

Description

You will drive AI impact by building scalable systems that bring advanced algorithms to life, ensuring data products reach production faster and more reliably than ever before.

Requirements

• •Strong fundamentals in Computer Science
• •Polyglot mindset and language migration ability
• •Proficiency in Python
• •Passion for clean code and tools
• •Experience organizing and querying data warehouses
• •Familiarity with Spark
• •Interest in AI and Machine Learning
• •Proficiency in applying MLOps at scale
• •Ability to prioritize and manage stakeholders
• •Good communication and collaboration skills
• •Track record of outcome-driven work
• •Experience operating at scale
• •Cloud DevOps and infrastructure mindset
• •Autonomous, proactive, and customer-oriented mindset
• •Mentoring and knowledge sharing skills
• •Prior experience in scale-up environments
• •Interest in LLMs and Generative AI

Tasks

• •Build systems to deploy ML and AI algorithms
• •Design scalable and efficient machine learning tools
• •Implement systems for high-performance ML solutions
• •Increase the reliability of data products in production
• •Reduce time-to-market for new data products
• •Optimize and reduce operational costs
• •Collaborate with product teams to deploy advanced algorithms
• •Apply MLOps best practices across the platform

Tools & Technologies

Benefits