Senior Machine Learning Engineer

vor 4 Wochen

Düsseldorf, Deutschland The Stepstone Group Vollzeit

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 responsibilities:

Your role as Senior Machine Learning Engineer will encompass implementating and productionising ML-based services using Sagemaker, but also streamlining delivery of machine learning products in general. You will be a key figure in our team to establish and utilize best practices for MLOps, IaC and CI/CD best practices to increase efficiency in deployment, scalability and management of resources in LLM-based pipelines.

This role allows for direct impact on the experience of jobseekers and recruiters Leverage your experience to build a framework for semantically matching talents to job profiles across the globe with a strong sense of ownership and a holistic understanding of ML-based systems. We are looking for a person who enjoys extensive collaboration, who is willing to learn and contribute to technical discussion, bringing bleeding edge technology and knowledge to our search and recommender solutions.

Showcase your track record of elevating processes, standards, and ways of working, and your background in coaching and mentoring more junior engineers. To thrive in our fast-paced environment you will contribute to our Chapters in Data Science and Machine Learning Engineering, able to work across teams to help everyone work together effectively. Demonstrate your growth mindset and systematic approach to problem-solving, as well as your experience in navigating the dynamics of an Agile environment. Fluent in English? Fantastic

Qualifications

Your skills and qualifications:

5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of LLMs Experience with LLM-related packages, such as PyTorch, Transformers etc. Experience with IaC (Terraform), CI/CD, and test automation best practices Bachelor's degree in Computer Science or a related field; Master's degree is preferred

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

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