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Entry LevelFull-timeAWSMachine LearningData ScienceML
Salary Range
$35,700 - $48,300 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineering Lead to join our Data Science organization at SIXT. This role involves leading and scaling our Machine Learning Engineering team, shaping ML Engineering standards, and driving technical strategy across data science, MLOps, and engineering teams.
Key Responsibilities
- →Lead and scale the Machine Learning Engineering team that partners with data scientists to transform models into production-grade ML applications
- →Shape ML Engineering standards by establishing best practices, design patterns, and quality benchmarks
- →Drive technical strategy and architecture across data science, MLOps, and engineering teams
- →Bridge platform and practice by translating MLOps platform capabilities into practical guidance
- →Foster collaboration and excellence by building strong relationships across cross-functional teams
Requirements
- ✓Proven leadership experience with 3+ years managing machine learning or software engineering teams
- ✓Strategic technical vision with experience leading complex ML/data science initiatives
- ✓Deep ML and cloud expertise including hands-on experience with machine learning frameworks, MLOps practices, and AWS cloud services
- ✓Production ML deployment experience with real-world examples of deploying and maintaining large-scale ML systems
- ✓Bridge-builder mindset with exceptional communication skills and ability to translate between technical and business stakeholders
- ✓Hands-on technical credibility with the ability to review architectures and guide technical decisions
Benefits
- ★Extra benefits including discounts on SIXT products, attractive vehicle leasing offers, and exclusive deals with partners
- ★Mobility boost with a monthly allowance for more freedom
- ★Future security with retirement plan contributions
- ★Feel-good atmosphere with modern gym, leisure activities, and high-quality employee restaurant
- ★Flexibility with 30 days of vacation and a hybrid working model
- ★Giving back with a volunteer day for charity
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