MLOps Platform Engineer for Production ML

Aimlroles; Washington; In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Aimlroles is seeking a Machine Learning Engineer to build and operate end-to-end ML pipelines and platforms. You will work at the intersection of modeling and software engineering, enabling scalable, reproducible model deployment from experimentation to production.

You will implement training and inference pipelines, manage feature stores, registries, and delivery tooling, while monitoring quality, performance, and cost across the platform.

Competenze

• Experience with training and inference pipelines.
• Strong software-development practices.
• Experience with model registries and lineage.
• Ability to balance model quality with reliability and cost.

Mansioni

• Create reproducible training and retraining pipelines.
• Develop model-serving systems and APIs.
• Build feature pipelines, feature stores, model registries, lineage records, approval workflows, and automated release controls.
• Monitor data quality, drift, model performance, fairness, infrastructure health, latency, and cost.
• Provide reusable libraries and delivery pipelines for production-ready experiments.

Conoscenze

Strong programming

Software engineering

MLOps

Model deployment

Containerization

Cloud compute

Experiment tracking

Strumenti

Docker

Kubernetes

CI/CD pipelines

Descrizione del lavoro

Aimlroles is seeking a Machine Learning Engineer to build and operate end-to-end ML pipelines and platforms. You will work at the intersection of modeling and software engineering, enabling scalable, reproducible model deployment from experimentation to production.

You will implement training and inference pipelines, manage feature stores, registries, and delivery tooling, while monitoring quality, performance, and cost across the platform.