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Machine Learning Engineer

StepStone Group

Düsseldorf

Hybrid

EUR 60.000 - 80.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading AI company in Düsseldorf seeks a Machine Learning Engineer to develop robust ML models and manage AWS infrastructure. You will collaborate with data scientists and ensure seamless model deployment. The ideal candidate has at least 2 years of experience in ML Engineering and proficiency in Python. Benefits include 30 holidays, a hybrid work model, and a company pension scheme.

Leistungen

30 days of holidays
Hybrid working model
Company pension scheme
24 / 7 Employee Assistance Programme
Life Assurance Cover
Volunteering days
Job bike
Discounted parking or job ticket
In-house gym
In-house barista
Bring your dog to the office

Qualifikationen

  • 2 years of experience in ML Engineering or a related field.
  • Familiarity with CI/CD principles.
  • Understanding of statistical models and evaluation methodologies.

Aufgaben

  • Design and develop innovative machine learning models.
  • Manage and optimize AWS-based infrastructure.
  • Create and maintain CI/CD pipelines for model deployment.
  • Collaborate with data scientists on ML solutions.

Kenntnisse

Proficiency in Python
Data science libraries (e.g. pandas, scikit-learn, PyTorch)
Strong foundation in software engineering principles
Version control systems
Jobbeschreibung

Join our team and youll be responsible for developing robust machine learning models and deploying them at scale bridging the gap between data science and production-ready systems.

Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued and youll have the opportunity to push the boundaries of machine learning applications.

This is so important to us. By joining our team you will be playing a vital role as together we reimagine the labour market to make it work for everybody.

Qualifications
Key Responsibilities
  • Design and develop innovative machine learning models turning data into actionable insights
  • Manage and optimize AWS-based infrastructure ensuring scalability and efficiency
  • Create and maintain robust CI / CD pipelines for seamless model deployment
  • Collaborate closely with data scientists to implement and scale ML solutions
  • Contribute to the enhancement of our Data and AI Platforms working cross-functionally
Required Qualifications
  • 2 years of experience in ML Engineering or a related field (we value diverse backgrounds!)
  • Strong foundation in software engineering principles and best practices
  • Proficiency in Python and data science libraries (e.g. pandas scikit-learn PyTorch)
  • Familiarity with version control systems and CI / CD principles
  • Understanding of statistical models and their evaluation methodologies

We encourage applications from candidates of all backgrounds. If you dont meet all the qualifications but are passionate about ML and eager to learn wed still love to hear from you!

Your benefits
  • 30 days of holidays 2 extra days for Christmas and New Years Eve
  • Hybrid working model
  • Company pension scheme
  • 24 / 7 Employee Assistance Programme
  • Life Assurance Cover
  • Volunteering days
  • Job bike
  • Discounted parking or job ticket
  • In-house gym
  • In-house barista
  • And you can bring your dog to the office
Our commitment

Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company so we want to recruit develop and keep the best talent. We encourage applications from everyone regardless of background gender identity sexual orientation disability status ethnicity belief age family or parental status and any other characteristic.

Remote Work : No

Employment Type : Full-time

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Experience : years

Vacancy : 1

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