Position Details
About this role
This role involves building and operationalizing AI/ML systems in mission-critical environments, focusing on deployment, reproducibility, and scalable infrastructure.
Key Responsibilities
- Build ML pipelines
- Deploy models into mission environments
- Implement model versioning and monitoring
- Operate production ML systems
- Ensure reproducibility and scalability
Technical Overview
Stack includes Python, Kubernetes, Docker, MLflow, Argo, Airflow, with experience in ML pipelines, model deployment, and distributed systems.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with 3+ years of experience deploying machine learning systems into production environments, proficient in Python, Kubernetes, and ML pipeline orchestration tools.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with deploying ML systems, No experience with Kubernetes or ML pipelines, Unwillingness to work remotely
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