Machine Learning Engineer II

## Machine Learning Engineer IIApplyremote type:
Hybrid locations:
Bethesda, MDtime type:
Full time posted on:
Posted Todayjob requisition :
R0064169
** At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
**** Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
**** When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge:
Great Company, Great Culture, Great Rewards and Great Careers.
**** DUTIES:
** Design, implement, and deploy end-to-end machine learning solutions. Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from product and business units to data scientists, ensuring seamless integration of ML models into business-critical applications. Independently design, implement, deploy, and maintain machine learning models and components that solve real-world business problems in close collaboration with the Product, Business units, and Data Science teams.

Write production-grade code for ML models as services and APIs. Collaborate with cross-functional teams including data engineering and software development, to integrate machine learning models into production systems. Build and maintain scalable data processing workflows and model deployment infrastructure. Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability. Collaborate with PM, Design, Product Engineering, and Data Science teams to ensure end-to-end business impact.

May require pre-hire technical screen. Hybrid Work Policy - 3 days in office, 2 days work from home - Must be able to report to local office. Multiple positions open. Salary $105,000 to $215,000 per year.
** REQUIREMENTS:
** Bachelor’s degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field. Two (2) years of experience as a Software Engineer, or related occupation. Two (2) years of experience with:
Developing and deploying machine learning models in production environments, with expertise in a variety of ML techniques;
Writing production-grade code and creating APIs using frameworks such as Tensor Flow, PyTorch, or Scikit-learn;
Cloud-based environments and familiarity with containerization and orchestration tools;
Building data processing and ML workflow pipelines using SQL, Spark, and Python scripting;
Utilizing distributed computing frameworks and large-scale data processing tools; ML algorithm foundations;
Engineering skills to develop production ML/AI systems;
Transforming business problems into ML/AI problems;
Advanced machine learning algorithms and techniques, including supervised, unsupervised, and generative models;
Python; ML frameworks, such as Tensor Flow, Keras, and PyTorch;
Software development best practices, such as CI/CD, containerization, and version control;
Cloud platforms (AWS, Azure, GCP) and ability to leverage them for scalable and efficient ML solutions; and Data engineering concepts, including building scalable ETL pipelines, working with big data tools (Spark, Kafka), and ensuring smooth data flow for ML workflows.
*
* TO APPLY:

** Visit,
** The GEICO Pledge:
**** Great Company:
** At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.

We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
** Great Careers:
** We offer a career where you can learn, grow, and thrive through personalized development…