Senior Machine Learning Engineer - Production & MLOps

GEICO; Bethesda (MD); Hybrid; USD 153,000 - 300,000; Full time

Benefits offered by this job

GEICO Pledge

Job summary

GEICO in Bethesda, MD is seeking a Senior Machine Learning Engineer to design, deploy, and optimize ML models in production. You will build scalable pipelines, collaborate with product and data science teams, and translate complex models into reliable services.

The role requires deep learning, ML platforms, and cloud expertise; hybrid work (3 days in-office, 2 remote) is offered with a competitive salary range reflecting seniority and impact.

Qualifications

• Bachelor’s degree in Computer Science, Business Analytics, Machine Learning, or a related field.
• 4+ years as a Software Engineer or related role with hands‑on ML experience.
• Experience deploying ML models in production and building scalable ML pipelines.

Responsibilities

• Review architecture and implement ML models to solve business problems.
• Design scalable training infrastructure, hyperparameter tuning, and deployment pipelines.
• Write production-grade, modular code and APIs for ML services.
• Monitor model performance, retraining, and version management.
• Apply MLOps practices and CI/CD for ML pipelines; work with Kafka, Flink, Spark Streaming.

Skills

Deep learning

Reinforcement learning

NLP

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Docker

Kubernetes

Python

Spark

MLOps

CI/CD

Monitoring

Education

Bachelor’s degree in Computer Science, Business Analytics, Machine Learning, or related technical field

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

AWS SageMaker

Spark

Job description

GEICO in Bethesda, MD is seeking a Senior Machine Learning Engineer to design, deploy, and optimize ML models in production. You will build scalable pipelines, collaborate with product and data science teams, and translate complex models into reliable services.

The role requires deep learning, ML platforms, and cloud expertise; hybrid work (3 days in-office, 2 remote) is offered with a competitive salary range reflecting seniority and impact.