Description

You will build and manage the infrastructure and automation required to support end-to-end machine learning workflows.

Responsibilities

• Design and build CI/CD pipelines for machine learning workflows.
• Write Terraform scripts from scratch to manage scalable, cloud-agnostic infrastructure-as-code.
• Implement ML lifecycle workflows, including model training, deployment, monitoring, and retraining.
• Automate model drift detection and retraining triggers.
• Create self-service capabilities for internal stakeholders to manage and deploy models.
• Collaborate with data scientists and DevOps to integrate models with REST APIs and third-party services.
• Oversee model release processes, artifact management, and infrastructure provisioning.

Required Skills

• 5+ years of professional experience.
• Hands-on experience in AI/ML engineering.
• Proficiency in building CI/CD pipelines and infrastructure automation.
• Strong experience writing Terraform scripts from scratch.
• Familiarity with MLOps practices, including model monitoring and lifecycle governance.
• Experience with REST APIs and serving models in production environments.
• Knowledge of cloud-agnostic architecture and container orchestration tools.
• Ability to work cross-functionally with engineering and data science teams.

Key Skills

Education

Any Gradute