Company Description

Who we are 

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 job seekers 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-tech platform.  

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. 

Job Description

The job at a glance:

The three teams in our streamlined squad are currently working on several LLM-based use-cases to serve jobseekers better fitting jobs and recruiters better fitting talents via semantic search. We are using inhouse-tuned LLMs that we deploy on AWS together with Vector DBs to support retrieval.

This exciting role will be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and establish best practices in MLOps for large models to build a better future where a new job is just a click away.

Your job: 

• Implement and productionise ML-based services using Sagemaker  

• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions. 

• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources. 

• Collaborate with our Data Scientists team to design and implement ML workflows. 

• Participate in code reviews, contributing to our culture of continuous improvement. 

• Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner. 

Qualifications

Required Skills:

• Strong team player, willing to learn from and contribute to an experienced team  

• High engagement, proactivity, and sense of ownership 

• 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field 

• Proficiency in production-level Python (Clean, SOLID) 

• Industry experience in Amazon Sagemaker deployment 

• Experience in deploying and scaling LLMs in production 

• Experience with IaC (Terraform), CI/CD (Atlassian Bamboo) and test automation best practices. 

• Excellent communication skills in English, both written and verbal. 

• Bachelor's degree in Computer Science or a related field. Master’s degree is preferred.  

• Experience in Natural Language Processing (NLP) projects is a plus.  

• Experience with PyTorch or transformers is a plus. 

• Experience with managed Vector DBs is a plus. 

Our expectations:

• You contribute to technical discussions with our team, Product Manager and Stakeholders 

• You are proactive, focused on delivery and value creation. 

• You work self-sufficiently in an autonomous team. 

• You have experience working in Scrum or empowered teams with multiple roles. 

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.

Join our team and contribute your expertise to make a significant impact on our company's success while advancing your IT career. We look forward to receiving your application!