Transform transportation logistics through technology at GXO
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
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
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
- 3–5 years in AI/ML engineering or Data Science, or software engineering with ML focus
- 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.
