Staff Machine Learning Engineer (M/W/D)

Company Description

At The Stepstone Group, we help everyone get the job that best fits their life. Whether it is the next step in their career, or a job to pay the bills - we exist to match lifestyles with livelihoods.  

We play our part by giving people everything they need to find the right job for them in that moment; making jobs work for more people, whatever they do, and however they choose to do it. 

Equal opportunities are important to us. We believe that diversity and inclusion at Totaljobs is critical to our success as a global company, so we want to recruit, develop, and keep the best talent on the market. We encourage applications from everyone, regardless of your background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic. If you require reasonable accommodation in completing this application or interviewing, please let us know. 

We also have a hybrid approach! Work from home 2 days and 3 days at the office!

Job Description

You will work closely together with 2 teams of data scientists & machine learning engineers. You will help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large language models.  

What the role will look like on a day to day basis:

• Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions 
• Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt MLE & DevOps experts  
• Understand current AI pipelines and their integration with other services 
• Design & build infrastructure to facilitate experimentation & deployment of AI systems 
• Collaborate with the AI Labs teams to advance current ML workflows and software development standards  

Qualifications

• Industry experience in AWS ML services, including AWS Sagemaker 
• Experience in DevOps, Cloud Operations, ML-engineering 
• Experience in AWS administration and permission management 
• Expertise with building enterprise scale ML & LLM solutions 
• High proficiency with Docker, IaC (Terraform), CI/CD (Atlassian Bamboo) 
• Ambition to understand, question, & shape our ML-based services 
• Provide guidance on IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.  
• Good communication skills in English, both written and verbal.  
• Experience with building and or using model management tools (e.g. mlflow) 
• Experience with MLOps (model orchestration, updating, etc.) 
• Experience with Kafka is a strong plus as some of the pipelines are event-Driven 
• Nice to have: Experience with setting up & managing Vector Databases. 
• Nice to have: Experience in deploying LLMs at scale.  

Additional Information

Benefits and Rewards:

We believe in giving recognition to our employees, so if you are interested to find out more, please look at the The Stepstone Group career site.

• Your start at The Stepstone Group: We want you to feel comfortable right from the get-go and you can begin networking immediately. That's why we always start with an onboarding event lasting several days, during which you get to know your new colleagues, our products and our culture. After that, the onboarding continues in your department - with several weeks of individual training. ​
• Your further development: We are growing - and of course we want you to grow with us. We will support you with targeted training that will help you develop both personally and professionally. ​
• Big player with start-up flair: Even though we've grown quite a bit, we haven't lost our laidback attitude from the early days. In concrete terms, this means that we are on a first-name basis, we have short communication channels, flat hierarchies and super helpful colleagues. ​
• Social Days: Talk is silver, action is golden - which is exactly why all our employees have 2 Social Days a year. These can be used flexibly for social and sustainable commitment. And the best thing about it: you don't have to take any holidays. ​
• Holidays: While we're on the subject of holidays ... We offer 30 days of paid leave per year plus one customary day. And we always have Christmas and New Year's Eve off. ​
• Four-legged friends welcome! Would you like to bring your dog? With pleasure. Every day is "bring-your-dog-to-work-day"!​
• Our location? We're easy to reach - whether by car, train or bike. By the way: We sponsor 50% of your parking space or job ticket. ​
• Job-bike: And we also have good news for all cyclists: with our Job-bike offer, we support you in getting to the office quickly and sustainably. ​
• Mobile Office: This is also possible with us! As a general rule, we offer two days of remote working per week. Feel free to ask directly during the interview to find out what the policy is for your role. ​
• Fancy a coffee? Our coffee is brewed fresh and free of charge. Speaking of fresh, of course, we also serve fresh fruit every day. ​
• Our in-house post office: Standing in line isn't your thing? Then simply have your parcels delivered to the office. ​
• Even more benefits: Christmas party, summer party, team events, incentives, subsidization on our company pension scheme and great offers at wholesale rates (e.g. for mobile phone contracts, Sixt and hotel bookings with HRS) - our list is long. There's bound to be something for you too!

When you apply for a role with us you will be asked to complete an equal opportunities questionnaire. If you have any questions about this, please feel free to reach out to one of the team.