Senior MLOps Engineer (AI)

TL;DR

Senior MLOps Engineer (AI): Building and optimizing high-performance infrastructure, automated pipelines, and deployment strategies for state-of-the-art AI models at scale, with an accent on ML/LLM lifecycle management, infrastructure as code, and performance optimization. Focus on solving scaling bottlenecks, ensuring model reliability, and managing GPU/TPU resource allocation for cutting-edge GenAI applications.

Location: Remote, UK

Company

hirify.global is a product company building the human data infrastructure that's reshaping the landscape of AI development, providing the world's largest source of high-quality human data for AI teams.

What you will do

• Design and maintain scalable cloud environments (GCP/AWS) using Terraform for GPU/TPU resource allocation.
• Develop automated CI/CD/CT pipelines using tools such as GitHub Actions, MLFlow, and Vertex AI Pipelines.
• Implement reusable patterns for model serving and manage service deployments to Kubernetes.
• Manage and optimize vector databases and embedding pipelines for RAG-based systems.
• Implement inference optimization techniques to reduce latency, increase throughput, and mitigate cold start issues.
• Monitor for model drift, data skew, resource utilization, and implement LLM tracing for service health.

Requirements

• 5+ years experience with cloud infrastructure and infrastructure as code.
• Previous experience with the ML and LLM lifecycle, including training, hosting, optimisation, and observability.
• Experience working closely with researchers and data scientists, taking experiments from worksheets into production.
• Strong grasp of ML fundamentals and modern GenAI stack.

Culture & Benefits

• Work at the forefront of AI innovation with access to a unique human data platform.
• Opportunities for groundbreaking research.
• Enjoy a competitive salary and benefits.
• Remote working within an impactful, mission-driven culture.
• Contribute to integrating diverse human perspectives into AI development.