Senior Engineer, Machine Learning - Remote

GXO Logistics • OH

80d

About The Position

At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of. We’re out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO’s operations.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience.
• 3–5 years in AI/ML engineering or Data Science, or software engineering with ML focus.
• Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Experience with data pipeline tools (Airflow, Spark, Kafka).
• Familiarity with AWS, GCP, or Azure.

Nice To Haves

• Ability to work with data scientists, developers, and business stakeholders.
• Ability to explain GenAI concepts to technical and non-technical stakeholders.

Responsibilities

• Deploy and monitor ML models in production using tools like Docker, Kubernetes, and MLflow.
• Build and maintain data pipelines using tools like Airflow, Spark, or Kafka.
• Integrate ML models into business applications by collaborating with software engineers.
• Monitor model performance and data drift, implementing alerting and retraining pipelines.
• Clean and preprocess data to ensure data quality and consistency for modeling.
• Work with cross-functional teams to translate business needs into technical solutions.
• Maintain technical documentation for reproducibility and knowledge sharing.
• Optimize ML workflows by identifying and implementing improvements in performance and scalability.

Benefits

• Full health insurance (medical, dental and vision)
• 401(k)
• Life insurance
• Disability insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees