Developer Jobs in Vista, CA

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18d ago

Senior Machine Learning Engineer

Leidos Vista, CA

Vista, CA

18d ago

$108k - $195k/yr Full time Ai Ml Artificial Intelligence Computer Vision

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Job Description

This onsite role in Vista, California offers a competitive annual salary ranging from USD 107,900 to 195,050, plus a comprehensive benefits package. You will join Leidos as a Senior Machine Learning Engineer focused on MLOps driven object detection for border security, leading the end-to-end lifecycle of models from development through deployment and integration with operational systems. The position places a premium on cross-functional collaboration, reliable delivery, and impact across mission-critical systems.

What you will do

Develop, train, and assess machine learning models using modern MLOps practices and frameworks.
Design and maintain reproducible training pipelines that enable scalable experimentation and clear traceability.
Collaborate with cross-functional teams to embed models into live workflows and operational systems.
Improve model performance and dependability through continuous monitoring, testing, and iteration.

What you bring

MS or PhD in data science, engineering, applied science, or a related field, plus at least 10 years of industry experience.
Capability to support the full ML lifecycle, from data preparation and model training to deployment and monitoring.
Experience tracking experiments, evaluating model performance, and managing model versions with a platform such as MLflow to ensure transparency and auditability.
Experience with data versioning tools like DVC, MLFlow Dataset, or LakeFs.
Experience deploying and operating ML models in production environments using Docker and Kubernetes.
Familiarity with modern data stacks including cloud platforms, data warehouses, and MLOps concepts.
Strong ability to evaluate technical approaches and guide decision-making.
A proven track record of owning delivery and collaborating across functions.
Ability to multitask across concurrent projects and priorities.
Excellent written and verbal communication skills.
Some travel required up to 25% to support projects.
Ability to obtain and maintain Public Trust access.

Technologies

MLflow
DVC
MLFlow Dataset
LakeFs
Docker
Kubernetes
Kubeflow
Airflow
ResNet
Yolo
U-Net

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

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