MLOps Engineer III

We are currently looking to hire a highly motivated MLops who has the hunger to solve our complex technical and business challenges. If you want to be part of our journey and make an impact. Apply now!

YOUR ROLE AT SIXT

• Develop further and maintain a solid infrastructure within the Data Science team, with a focus on DevOps processes and cloud technologies
• Establish and extend tools to automate our Data Science Tech Stack to continuously enhance MLOps processes, including model deployment and data pipelines
• Ensure a reliable and scalable deployment foundation for our Data Science ML models and algorithms and work closely with other departments like cloud infrastructure
• Collaborate effectively with stakeholders from other departments to achieve our business goals
• Build and maintain infrastructure as code (IaC) using tools like Terraform to manage cloud resources
• Make data science experiments production-ready, monitored, robust, and scalable

YOUR SKILLS MATTER

• B.Tech/B.E/ Master s Degree in Computer Science or similar discipline
• You have atleast 6+ years of experience working in MLOps/ML/Data Science with solid AWS
• Strong knowledge cloud technologies, ideally in AWS
• Solid coding skills in Python and experience with continuous integration/continuous deployment approaches
• Experience with infrastructure as code (IaC), ideally Terraform, is a strong plus
• Familiarity with containerization technologies such as Docker and ideally container orchestration systems such as Kubernetes
• Ideally knowledge in operational deployment of machine learning applications
• Ideally knowledge of data engineering, including data modeling, database systems, and ETL processes
• Ideally experience with monitoring and logging tools to detect and diagnose issues in machine learning models and the infrastructure supporting them
• Excellent communication and collaboration skills, with fluency in English and an appreciation for cultural diversity