Machine Learning Engineer, Document & Vision Intelligence

GEICO

. Design and implement machine learning models, services, and components for real-world business problems .

Posted 9/28/2026full-timeUnited StatesMid-LevelSenior💰 $105,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing machine learning models and services, with a strong foundation in advanced algorithms and statistical modeling. Proficient in deploying production-grade ML systems and leading cross-functional teams to integrate AI solutions effectively.

Highest-signal resume keywords

Machine Learning Model DevelopmentProduction-Grade Code WritingCloud Platforms (AWS, Azure, GCP)Python ProgrammingMLOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning TechniquesDeep LearningNLPStatistical ModelingSQLSparkTensorFlowPyTorchKubernetesCI/CD Pipelines

Soft Skills

Excellent Communication SkillsProblem-SolvingAnalytical SkillsProduct and Business Acumen

Tools & Technologies

DockerDatabricksSnowflakeKafka

Industry Keywords

MLOpsModel MonitoringHyperparameter TuningGenerative AIAgentic Workflow

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKafkaKerasKubernetesPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

Design and implement machine learning models, services, and components for real-world business problems
Write production-grade code for ML models as services and APIs
Collaborate with product, data engineering, and software development teams to integrate ML solutions into production
Build and maintain scalable data processing workflows and model deployment infrastructure
Debug and resolve model performance issues, track metrics, and implement continuous improvements
Apply modern ML, generative AI, LLM, agentic workflow, and AI engineering tooling
Lead complex machine learning solutions across business units
Architect and develop infrastructure for automated model training, hyperparameter tuning, and deployment
Mentor and guide junior engineers
Own end-to-end model monitoring, maintenance, and retraining systems

Requirements

What you’ll need

B.S. in computer science, computer engineering, electrical engineering, machine learning, statistics, mathematics, or a related quantitative field
3+ years of experience applying machine learning techniques such as ensemble learning, deep learning, reinforcement learning, NLP, generative AI, or related approaches
Direct experience designing, building, evaluating, and deploying production-grade ML systems, including model experimentation, evaluation, monitoring, and continuous improvement
3+ years of experience with SQL, Spark or equivalent distributed data processing tools, Python, and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
3+ years of experience working with cloud platforms and environments such as AWS, Microsoft Azure, Databricks and/or Snowflake, and Kubernetes
2+ years of experience applying machine learning techniques in a production environment for business solutions
Demonstrated ability to communicate technical tradeoffs clearly, partner with product and business stakeholders, and operate effectively in ambiguous problem spaces
Strong foundation in advanced machine learning algorithms, including supervised and unsupervised learning techniques, deep learning, generative AI, and modern AI engineering practices
Proficiency in statistical modeling, including probability theory and hypothesis testing
Strong programming skills, including proficiency in Python and experience with TensorFlow, Keras, and PyTorch
Familiarity with CI/CD pipelines, Docker, and Kubernetes
Deep understanding of MLOps practices, including model versioning, A/B testing, and continuous deployment
Deep understanding of Azure, AWS, or GCP, distributed systems, Spark, and Kafka
Proven experience leading machine learning projects, managing stakeholders, and scaling ML solutions in production environments
Excellent communication skills with technical and non-technical audiences
Exceptional problem-solving and analytical skills
Strong product and business acumen
Demonstrated ability to leverage LLMs, agents, and modern AI tooling
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position

Benefits

Comp & perks

Personalized development programs
Mentorship
Certification assistance
Competitive pay
Benefits
Flexibility to support your well-being and future
Reasonable accommodations for qualified individuals with disabilities