MLOps Lead (AI)

Location: Remote

Company

hirify.global is recruiting for a client building an AI product for creative professionals, with machine learning at its core.

What you will do

• Own and continuously improve ML infrastructure and CI/CD pipelines.
• Design, build, and operate pipelines, tooling, and processes for training, testing, releasing, and monitoring ML models.
• Monitor production systems, investigate incidents, and improve alerting and automation.
• Control model and ML feature releases across environments.
• Maintain code quality, system reliability, scalable architecture, and existing core infrastructure and internal platforms.
• Create and support internal tools that accelerate ML development and make releases more efficient.

Requirements

• At least 5 years of experience in MLOps, DevOps, backend engineering, or a related field.
• Very good Python skills.
• Practical experience with CI/CD, Docker, and a public cloud; AWS is preferred.
• Good knowledge of how ML models are developed, released, and operated.
• Strong problem-solving and system design skills.

Nice to have

• Kubernetes, PyTorch, TensorFlow, data pipelines, or model versioning experience.

Culture & Benefits

• Remote work under a backend contract.
• Hands-on ownership of ML infrastructure and internal platforms.
• Collaboration between ML researchers and software engineers.

Hiring process

• Brief non-technical conversation about background, career aspirations, communication, teamwork, and decision-making.
• 60–90-minute technical interview with challenges related to the client’s requirements.
• Final technical interview with the client, followed by an offer after successful completion.