AI Operations (MLOps)

OpenNetworks

6d

About The Position

AI Operations (MLOps)

Required Qualifications
Experience: 3+ years of experience in MLOps, DevOps, or Software Engineering with a focus on machine learning systems.
Programming: Expert proficiency in Python and solid experience with writing clean, production-level code.
Cloud & Containerization: Strong experience with a major cloud provider (AWS, GCP, or Azure) and expert knowledge of containerization technologies (Docker, Kubernetes).
MLOps Tools: Hands-on experience with MLOps frameworks and platforms (e.g., MLflow, Kubeflow, Sagemaker, TFX, or similar).
Technical Foundation: Deep understanding of the machine learning lifecycle, from data prep and model training to deployment and monitoring.
Preferred Qualifications
Experience working in the HealthTech or FinTech industries, particularly with highly regulated data.
Experience designing and managing data pipelines (ETL/ELT) for ML features.
Knowledge of data governance, security principles, and compliance requirements in healthcare (e.g., HIPAA).
Experience optimizing models for latency and throughput (e.g., ONNX, model quantization).
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Requirements

• 3+ years of experience in MLOps, DevOps, or Software Engineering with a focus on machine learning systems.
• Expert proficiency in Python and solid experience with writing clean, production-level code.
• Strong experience with a major cloud provider (AWS, GCP, or Azure) and expert knowledge of containerization technologies (Docker, Kubernetes).
• Hands-on experience with MLOps frameworks and platforms (e.g., MLflow, Kubeflow, Sagemaker, TFX, or similar).
• Deep understanding of the machine learning lifecycle, from data prep and model training to deployment and monitoring.

Nice To Haves

• Experience working in the HealthTech or FinTech industries, particularly with highly regulated data.
• Experience designing and managing data pipelines (ETL/ELT) for ML features.
• Knowledge of data governance, security principles, and compliance requirements in healthcare (e.g., HIPAA).
• Experience optimizing models for latency and throughput (e.g., ONNX, model quantization).
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

What This Job Offers

• Job Type: Full-time