- 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.
- Industry experience in AWS ML services, including AWS Sagemaker
- Experience in DevOps, Cloud Operations, ML-engineering, AWS administration and permission management.
- Expertise with building enterprise scale ML & LLM solutions, Docker, IaC (Terraform), CI/CD (Atlassian Bamboo) with the 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.
- Experience with building and or using model management tools (e.g. mlflow) & MLOps (model orchestration, updating, etc.)
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Staff Machine Learning Engineer - London, United Kingdom - The Stepstone Group
Description
Job Description
The job at a glance
Join our team and you'll work closely together with 2 teams of data scientists & machine learning engineers. Working in the AI Labs department you will also work to 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.
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:
Qualifications
Your skills and qualifications
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.