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Senior Machine Learning Engineer I(m/w/x)
Description
As a Senior Machine Learning Engineer, you will design and optimize cutting-edge AI models while collaborating with diverse teams to enhance customer support services and improve operational efficiency.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Bachelor’s degree in Machine Learning, Computer Science, or engineering-related field
- •At least 5 years of experience as a Machine Learning Engineer
- •Excellent software development engineering skills
- •Experience building and deploying ML models using cloud services (AWS, GCP, or Azure)
- •Expert in Python and familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Langfuse)
- •Experience with machine learning workflow orchestration and algorithms optimisation
- •Good understanding of data pipelines, APIs, containers (Docker), and version control (Git)
- •Excellent analytical and problem-solving skills
- •Working proficiency and communication skills in verbal and written English
Education
Work Experience
5 years
Tasks
- •Architect and design AI solutions
- •Develop and deploy AI systems in production
- •Ensure reliability and scalability of AI solutions
- •Collaborate with data scientists and product managers
- •Enhance customer experience through AI solutions
- •Maintain ML infrastructure and pipelines
- •Optimize machine learning models for accuracy
- •Collect and preprocess large text datasets
- •Embrace software development best practices
- •Integrate machine learning solutions into applications
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Dedicated annual L&D budget
Competitive Pay
- •Stake in company success
Retirement Plans
- •Corporate pension scheme
Workation & Sabbatical
- •30-day sabbatical after 3 years
Bonuses & Incentives
- •Referral bonus
Healthcare & Fitness
- •Urban Sports Club subsidy
Childcare
- •Kita placement assistance
Other Benefits
- •Relocation assistance
Free or Subsidized Food
- •Subsidised office lunches
- SumUpFull-timeOn-siteSeniorBerlin
- RepRisk AG
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Senior Machine Learning Engineer I(m/w/x)
The AI Job Search Engine
Description
As a Senior Machine Learning Engineer, you will design and optimize cutting-edge AI models while collaborating with diverse teams to enhance customer support services and improve operational efficiency.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Bachelor’s degree in Machine Learning, Computer Science, or engineering-related field
- •At least 5 years of experience as a Machine Learning Engineer
- •Excellent software development engineering skills
- •Experience building and deploying ML models using cloud services (AWS, GCP, or Azure)
- •Expert in Python and familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Langfuse)
- •Experience with machine learning workflow orchestration and algorithms optimisation
- •Good understanding of data pipelines, APIs, containers (Docker), and version control (Git)
- •Excellent analytical and problem-solving skills
- •Working proficiency and communication skills in verbal and written English
Education
Work Experience
5 years
Tasks
- •Architect and design AI solutions
- •Develop and deploy AI systems in production
- •Ensure reliability and scalability of AI solutions
- •Collaborate with data scientists and product managers
- •Enhance customer experience through AI solutions
- •Maintain ML infrastructure and pipelines
- •Optimize machine learning models for accuracy
- •Collect and preprocess large text datasets
- •Embrace software development best practices
- •Integrate machine learning solutions into applications
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Dedicated annual L&D budget
Competitive Pay
- •Stake in company success
Retirement Plans
- •Corporate pension scheme
Workation & Sabbatical
- •30-day sabbatical after 3 years
Bonuses & Incentives
- •Referral bonus
Healthcare & Fitness
- •Urban Sports Club subsidy
Childcare
- •Kita placement assistance
Other Benefits
- •Relocation assistance
Free or Subsidized Food
- •Subsidised office lunches
About the Company
SumUp
Industry
FinancialServices
Description
The company is a leading global fintech company committed to leveling the playing field for small businesses.
- SumUp
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