Machine Learning Engineer – Generative AI & MLOps - Remote

Overview

CloudBees is seeking a Machine Learning Engineer with hands-on experience in generative AI platforms like Amazon Bedrock and Google Vertex AI, as well as expertise in building and maintaining scalable ML pipelines. This role is ideal for someone passionate about pushing the boundaries of developer productivity and intelligent automation.

In Short

• Design, build, and maintain production-ready ML pipelines.
• Integrate and fine-tune foundation models and generative AI services.
• Collaborate with software engineers, product managers, and data scientists.
• Automate model retraining, versioning, testing, and CI/CD processes.
• Implement observability and reliability into ML systems.
• Contribute to the technical roadmap for AI/ML development.
• Document systems and share best practices.
• 4+ years of experience in machine learning engineering.
• Hands-on experience with Amazon Bedrock and/or Google Vertex AI.
• Experience in a startup or fast-paced product development environment.

Requirements

• Strong understanding of ML lifecycle management.
• Experience with Python, TensorFlow, PyTorch, or similar ML frameworks.
• Proficiency in cloud platforms (AWS and/or GCP).
• Familiar with containerized environments (Docker, Kubernetes).
• Familiarity with version control, CI/CD, and infrastructure as code.
• Experience with evaluations and LLMs.

Benefits

• Be part of an innovative, AI-driven future in the DevOps ecosystem.
• Work in a dynamic, remote-first startup environment.
• Influence technical strategy and contribute to product capabilities.
• Competitive compensation, equity options, and benefits.