Staff Machine Learning Engineer
Job Description
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.
Your benefits
We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer:
- 29 days holiday allowance + bank holidays
- Private medical and dental healthcare
- Pension contribution up to 10%
- Training and development opportunities
- Cycle to work scheme
- In house Barista
- Hybrid working model
- Volunteering days
- and you can bring your dog to the office!
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:
- 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.
Qualifications
Your skills and qualifications
- 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.)
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.
