What are the responsibilities and job description for the AI & Machine Learning Engineer position at CSafe Global?
CSafe is seeking an AI & Machine Learning Engineer at our World Headquarters, in Monroe, Ohio to join our world class Software Engineering team! You will develop and deploy intelligent systems that optimize logistics and cold chain operations. You’ll build generative AI, simulation, and predictive models that enhance routing, efficiency, and reliability across the supply network. The ideal candidate combines deep technical expertise in machine learning and data science with practical experience implementing scalable solutions in complex, enterprise environments. You will be reporting directly to the Director of Software Engineering.
CSafe offers the most comprehensive suite of thermal shipping solutions for pharmaceutical cold chain shipping needs around the world to ensure patients receive the medicines and treatments they need. In addition to key acquisitions, CSafe has operations in more than 70 locations worldwide to ensure product availability and continue to fulfil our founders’ mission to provide patients around the world with access to viable, life-enhancing pharmaceuticals. With a “client-first” focus, deep industry expertise and commitment to innovation, CSafe continues to deliver industry-leading products provides an end-to-end portfolio including active and passive bulk air cargo, parcel, cell and gene and specialty last-mile use cases. Our team operates with curiosity, humility, accountability, and entrepreneurial spirit to deliver on our vision and mission.
Come join our growing industry and build your career with us!
What You’ll Do:
- Design, train, and deploy machine learning models for demand forecasting, routing optimization, and network efficiency
- Integrate AI systems with existing logistics platforms, sensors, and data pipelines
- Collaborate with cross-functional teams to translate business challenges into scalable solutions
- Implement data processing, feature engineering, and model evaluation pipelines using modern frameworks
- Monitor model performance, retrain systems, and ensure continuous improvement through feedback loops
- Ensure AI systems meet enterprise standards for security, scalability, and data governance
- Stay current with advancements in machine learning, optimization algorithms, and generative AI relevant to logistics
What You’ll Bring:
- Degree in Computer Science, Software Engineering, or IT or equivalent work experience
- 5 years in ML/AI roles with deep statistical learning experience
- Deep knowledge of Generative AI, NLP, and simulation methods applied to operational and logistics challenges
- Proficiency in Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with data engineering tools and environments (SQL, Spark, Databricks, Airflow)
- Familiarity with cloud platforms (AWS or Azure) and MLOps practices for deploying and monitoring models
- Ability to analyze large, complex datasets to uncover actionable insights and automation opportunities
- Strong problem-solving skills with a focus on scalability and real-world application
- Excellent collaboration and communication abilities
Why Join Us:
At CSafe, we foster an exciting, collaborative, and inclusive work environment that promotes personal and professional growth. We encourage feedback, foster trust, and support a culture of inclusion where everyone’s voice matters. Be Part of a Growing Industry by joining a forward-thinking team in the rapidly expanding temperature-controlled shipping sector.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.