About the job
Senior MLOps Engineer
At Prolific, we are not merely participants in the AI landscape; we are the innovators behind the human data infrastructure that is revolutionizing AI development. As foundational AI technologies become more standardized, the distinctiveness of our products and models lies in the quality and variety of human-generated data we provide.
The Role
The next wave of AI development hinges on a crucial element: exceptional human data. Prolific is the leading source of this data for teams at the forefront of AI technology. In your role as a Senior MLOps Engineer, you will support our AI production lifecycle's backbone. You will connect research with practical application, ensuring our Data Scientists and AI Researchers have the robust infrastructure, automated pipelines, and deployment strategies essential to deliver cutting-edge models at scale. Our deployment encompasses a range of AI functions, from fraud detection to RAG-based search.
Who We’re Looking For
- 5+ years of experience in cloud infrastructure and Infrastructure as Code.
- Proven experience throughout the ML and LLM lifecycle – including training, hosting, optimization, and observability.
- A collaborative mindset with a history of working closely with researchers and data scientists to transition experiments into production.
- A solid understanding of ML fundamentals and the contemporary GenAI stack.
What You’ll be Doing
Infrastructure & Platform Engineering
- Infrastructure as Code (IaC): Design and maintain scalable cloud environments (GCP/AWS) utilizing Terraform.
- Resource Provisioning and Management: Oversee cloud resources to ensure optimal performance and cost-efficiency.
