Senior ML Engineer - Real-Time Detection & MLOps

Leidos; Vista (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Leidos is looking for a Senior Machine Learning Engineer to join our innovative Security Enterprise Solutions team. This role involves developing and evaluating machine learning models, with a focus on production deployment and MLOps practices, to enhance border security.

The ideal candidate will have a strong background in data science, a master's or doctorate in a related field, and significant experience in managing machine learning lifecycle. Join us to help shape the future of AI in safeguarding operations.

Qualifications

• Minimum of 10 years of industry experience.
• Experience tracking experiments and model versioning.
• Ability to evaluate technical approaches and guide decision-making.

Responsibilities

• Develop, train, and evaluate machine learning models.
• Design and maintain training pipelines for experiments.
• Collaborate with teams to integrate models into systems.

Skills

MLOps practices

Machine learning model training

Data versioning frameworks

Cross-functional collaboration

Public Trust access

Education

MS or Ph.D. in Data Science or related field

Tools

Docker

Kubernetes

MLflow

Kubeflow

Airflow

Job description

Leidos is looking for a Senior Machine Learning Engineer to join our innovative Security Enterprise Solutions team. This role involves developing and evaluating machine learning models, with a focus on production deployment and MLOps practices, to enhance border security.

The ideal candidate will have a strong background in data science, a master's or doctorate in a related field, and significant experience in managing machine learning lifecycle. Join us to help shape the future of AI in safeguarding operations.