AI Engineering Manager (M/W/D)
Berlin, United Kingdom
StepStone Group
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 drive projects to improve the design of existing AI systems (classical ML & LLMs) on AWS and build new solutions. Your team will provide building blocks to train, evaluate, and serve large language models and demonstrate the capabilities of emerging technologies for Stepstone. In this role, you will cooperate with innovation teams across the company. This will allow you to get a deep understanding of different parts of the organisation and allow you to have significant impact with your contributions.
Your tasks:
- Enable the AI labs team and closely cooperate with data, infrastructure, and platform teams to design and deploy ML-based services using AWS Sagemaker
- Understand current AI products, identify new opportunities, and drive their implementation.
- Design experiments & deployment solutions in the realm of AI systems
- Drive initiatives in the AI Labs teams to advance current ML workflows and software development standards
- Develop talent in the AI labs team through learning & development as well as recruiting.
Leadership Skills
- Team-first attitude: you will work with a group of talented people from different quantitative disciplines and with different degrees of seniority
- Questioning the status quo: the team's mission is to contribute to AI driven innovations at stepstone.
- Curious, continuous learner: With exciting advances every week, willingness to experiment & learn is a necessary requirement for this role
- Growth mindset: overcoming current limitations and identifying new opportunities id what will make your team & you successful
- Co-building: as a lab team, you will necessarily work with experts from other teams to understand the different domains in depth and develop solutions that make a real difference to our customers and job seekers
- Good communication skills in English, both written and verbal. Your team members are located in London, Brussels, Berlin, and Warsaw and you will communicate with other AI experts as well as senior management.
Qualifications
- Industry experience in AWS ML services, including AWS Sagemaker
- Experience in working with DevOps, Cloud Operations, ML-engineering teams
- Expertise in driving projects to build enterprise scale ML & LLM solutions
- Ambition to understand, question, & shape our ML-based services
- Nice to have: Experience in projects involving deployment of 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.
- 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.
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS DevOps Engineering LLMs Machine Learning SageMaker
Perks/benefits: Career development Flat hierarchy Parental leave Team events
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