Machine Learning Engineer

Cerebras; Düsseldorf; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading tech company in Düsseldorf is seeking an experienced ML Engineer to develop and deploy robust machine learning models at scale. You will manage AWS infrastructure, create CI/CD pipelines, and collaborate with data scientists in a supportive environment. Ideal candidates have over 2 years of experience, a strong foundation in software engineering, and proficiency in Python. The role offers a hybrid working model and various employee benefits, including 30 days of holidays and life assurance cover.

Leistungen

30 days of holidays + 2 extra days for Christmas and New Year's 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

Bring your dog to the office

Qualifikationen

• 2+ years of experience in ML Engineering or a related field.
• Strong foundation in software engineering principles.
• Proficiency in Python and data science libraries.
• Familiarity with version control systems and 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 robust CI/CD pipelines.
• Collaborate closely with data scientists.
• Contribute to the enhancement of Data and AI Platforms.

Kenntnisse

Machine Learning

Python

AWS

Data Science Libraries

CI/CD Principles

Tools

pandas

scikit-learn

PyTorch

Jobbeschreibung

Company Description

At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.

Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job platform.

Job Description

Join our team and you'll 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 you'll 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:

1. Design and develop innovative machine learning models, turning data into actionable insights
2. Manage and optimize AWS-based infrastructure, ensuring scalability and efficiency
3. Create and maintain robust CI/CD pipelines for seamless model deployment
4. Collaborate closely with data scientists to implement and scale ML solutions
5. Contribute to the enhancement of our Data and AI Platforms, working cross-functionally

Required Qualifications:

1. 2+ years of experience in ML Engineering or a related field (we value diverse backgrounds!)
2. Strong foundation in software engineering principles and best practices
3. Proficiency in Python and data science libraries (e.g., pandas, scikit-learn, PyTorch)
4. Familiarity with version control systems and CI/CD principles
5. Understanding of statistical models and their evaluation methodologies

We encourage applications from candidates of all backgrounds. If you don't meet all the qualifications but are passionate about ML and eager to learn, we'd still love to hear from you!

Additional Information

Your benefits

We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer:

• 30 days of holidays + 2 extra days for Christmas and New Year's 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.