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SIXT Research & Development
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13 SIXT Research & Development Jobs
MLOps Engineer III
SIXT Research & Development
posted 1mon ago
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Flexible timing
Key skills for the job
Job Description
- 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
- 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
Employment Type: Full Time, Permanent
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SIXT Research & Development Benefits
Cafeteria 
Work From Home 
Health Insurance 
Free Transport 
Team Outings 
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