AI Engineering Manager

4 weeks ago

London, United Kingdom The Stepstone Group Full time

Job Description

The job at a glance

Join our team and you’ll be responsible for driving 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.

Working in the AI Labs department 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.

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. 

Your responsibilities:

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.

Qualifications

Your Skills and 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

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. 

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