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Engineering Manager Machine Learning(m/w/x)
Leading and scaling ML engineering teams, transforming models into production applications for a global mobility platform. 3+ years leadership experience managing ML or software engineering teams required. 30 days vacation, flexible hours, attractive vehicle leasing offers.
Requirements
- Proven leadership experience (3+ years) managing ML or software engineering teams
- Track record of building high-performing teams
- Experience managing teams across multiple locations (ideally)
- Strategic technical vision
- Experience leading complex ML/data science initiatives
- Deep ML and cloud expertise
- Hands-on experience with machine learning frameworks
- Hands-on experience with MLOps practices
- Hands-on experience with AWS cloud services
- Production ML deployment experience
- Experience deploying and maintaining large-scale ML systems
- Bridge-builder mindset
- Exceptional communication skills
- Ability to translate between technical and business stakeholders
- Talent for building consensus across diverse teams
- Hands-on technical credibility
- Ability to review architectures
- Ability to guide technical decisions
- Ability to occasionally contribute to critical implementations
Tasks
- Lead and scale the ML Engineering team
- Partner with data scientists
- Transform models into production ML applications
- Shape ML Engineering standards
- Establish best practices and design patterns
- Define quality benchmarks
- Drive technical strategy and architecture
- Ensure alignment with business objectives
- Communicate system designs to tech leadership
- Translate MLOps capabilities into practical guidance
- Channel ML engineering requirements to the MLOps team
- Foster cross-functional collaboration
- Mentor engineers
- Cultivate a culture of innovation
- Drive continuous improvement
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning Frameworks
- MLOps
- AWS
Benefits
More Vacation Days
- 30 days vacation
Flexible Working
- Hybrid working model
- Flexible hours
Corporate Discounts
- SIXT discounts
- Exclusive partner deals
Company Vehicle
- Attractive vehicle leasing offers
Additional Allowances
- Monthly mobility allowance
- Capital-forming benefits
Retirement Plans
- Retirement plan contribution
Healthcare & Fitness
- Modern SIXT gym
Other Benefits
- Gaming area
Team Events
- SIXT choir
Free or Subsidized Food
- High-quality employee restaurant
Social Impact
- Volunteer day
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Engineering Manager Machine Learning(m/w/x)
Leading and scaling ML engineering teams, transforming models into production applications for a global mobility platform. 3+ years leadership experience managing ML or software engineering teams required. 30 days vacation, flexible hours, attractive vehicle leasing offers.
Requirements
- Proven leadership experience (3+ years) managing ML or software engineering teams
- Track record of building high-performing teams
- Experience managing teams across multiple locations (ideally)
- Strategic technical vision
- Experience leading complex ML/data science initiatives
- Deep ML and cloud expertise
- Hands-on experience with machine learning frameworks
- Hands-on experience with MLOps practices
- Hands-on experience with AWS cloud services
- Production ML deployment experience
- Experience deploying and maintaining large-scale ML systems
- Bridge-builder mindset
- Exceptional communication skills
- Ability to translate between technical and business stakeholders
- Talent for building consensus across diverse teams
- Hands-on technical credibility
- Ability to review architectures
- Ability to guide technical decisions
- Ability to occasionally contribute to critical implementations
Tasks
- Lead and scale the ML Engineering team
- Partner with data scientists
- Transform models into production ML applications
- Shape ML Engineering standards
- Establish best practices and design patterns
- Define quality benchmarks
- Drive technical strategy and architecture
- Ensure alignment with business objectives
- Communicate system designs to tech leadership
- Translate MLOps capabilities into practical guidance
- Channel ML engineering requirements to the MLOps team
- Foster cross-functional collaboration
- Mentor engineers
- Cultivate a culture of innovation
- Drive continuous improvement
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning Frameworks
- MLOps
- AWS
Benefits
More Vacation Days
- 30 days vacation
Flexible Working
- Hybrid working model
- Flexible hours
Corporate Discounts
- SIXT discounts
- Exclusive partner deals
Company Vehicle
- Attractive vehicle leasing offers
Additional Allowances
- Monthly mobility allowance
- Capital-forming benefits
Retirement Plans
- Retirement plan contribution
Healthcare & Fitness
- Modern SIXT gym
Other Benefits
- Gaming area
Team Events
- SIXT choir
Free or Subsidized Food
- High-quality employee restaurant
Social Impact
- Volunteer day
About the Company
SIXT
Industry
Transportation
Description
The company is a globally leading mobility service provider offering car rental, car sharing, taxi services, and car subscriptions.
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