GXO is looking to transform transportation logistics through technology, and the Machine Learning Engineer will be responsible for designing, building, and maintaining scalable machine learning systems to optimize performance across GXO's operations.
Requirements
- ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
- Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
- Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
- Cloud Platforms: Familiarity with AWS, GCP, or Azure.
- 3–5 years in AI/ML engineering or Data Science, or software engineering with ML focus
Responsibilities
- Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
- Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
- Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
- Monitor model performance and data drift | Implement alerting and retraining pipelines
- Clean and preprocess data | Ensure data quality and consistency for modeling
- Work with cross-functional teams | Translate business needs into technical solutions
- Maintain technical documentation | Ensure reproducibility and knowledge sharing
Other
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
- Collaboration: Ability to work with data scientists, developers, and business stakeholders.
- Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.
- All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
- All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
