Overview
About Kaleris and the Role
Kaleris develops mission critical logistics and supply chain software used by leading operators around the world. As part of the AIML team, you will begin your engineering career working on practical AI systems that improve yard operations, terminal throughput, routing, and decision intelligence.
The role offers exposure to modern machine learning and MLOps practices while contributing to production level solutions in a collaborative and inclusive environment.
What You’ll Do
- Develop, test, and deploy machine learning models supporting core product capabilities such as classification, regression, NLP, and reinforcement learning.
- Create and maintain data pipelines for data ingestion, cleaning, feature engineering, and labeling.
- Run reproducible experiments and help automate training and evaluation workflows.
- Support CI/CD processes for ML services using containerized environments and cloud platforms.
- Track model performance, latency, and drift, and assist with troubleshooting and incident response.
- Take part in code and design reviews and prepare documentation and visualizations for stakeholders.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related discipline.
- 0 to 2 years of relevant experience, including internships, academic projects, or research work.
- Proficiency in Python and common ML and data libraries such as scikit-learn, pandas, and numpy.
- Understanding of machine learning model development and evaluation metrics.
- Familiarity with Git, unit testing practices, and SQL.
Preferred Qualifications
- Exposure to PyTorch or TensorFlow and experiment tracking tools such as MLflow.
- Experience with Docker, Kubernetes, and a major cloud platform like Azure, AWS, or GCP.
- Interest in logistics or supply chain domains and reinforcement learning concepts.
Why Kaleris
- Work on AI solutions that improve real world global operations.
- Access mentorship, learning opportunities, and diverse projects within the AIML team.
- Competitive compensation, comprehensive benefits, and an inclusive work culture.
Kaleris is an equal opportunity employer committed to building a diverse and inclusive workplace.
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Education Requirements
- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related field
Eligible Batch Years
Kaleris
Kaleris is a leading provider of supply chain execution and visibility solutions, specializing in transportation management, yard management, and rail logistics. Formed through the merger of multiple logistics technology companies, Kaleris delivers integrated platforms that help organizations optimize the movement of goods across complex global networks. The company serves a diverse range of industries including manufacturing, retail, automotive, and energy, enabling clients to improve efficiency, reduce costs, and enhance operational transparency.
With a mission to connect and streamline critical supply chain operations, Kaleris leverages advanced analytics, real-time tracking, and automation to empower businesses with actionable insights. Headquartered in Atlanta, Georgia, USA, the company has a strong market presence in North America and globally, supported by a workforce of over 500 employees. In recent years, Kaleris has expanded its capabilities through strategic acquisitions and partnerships, positioning itself as a trusted leader in supply chain technology and execution solutions.
Company Details
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Websitekaleris.com