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 responsibilities:

• Implement and productionise ML-based services using Sagemaker
• Collaborate with Data Scientists to design and implement LLM-based inference workflows
• Utilize IaC and CI/CD best practices to increase efficiency in deployment, scalability and management of resources
• Willingness to learn from and contribute to technical discussions with our experienced team, Product Manager, and StakeholdersAs a key member of our team, you will be responsible for driving the development and deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs.

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

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!