Job Description

Job Description

About Kaleris and the Role

Kaleris builds mission-critical logistics and supply chain software used by leading operators worldwide. Join our AIML team to kickstart your engineering career working on real-world AI systems that optimize yard operations, terminal throughput, routing, and decision intelligence. You’ll learn modern ML/MLOps practices and contribute to production-grade solutions in a collaborative, inclusive environment.

What You’ll Do

Develop, test, and deploy machine learning models for core product features (classification, regression, NLP, RL).
Build and maintain data pipelines for ingestion, cleaning, feature engineering, and labeling.
Implement reproducible experiments and help automate training/evaluation workflows.
Contribute to CI/CD for ML services using containers and cloud environments.
Monitor model performance, latency, and drift; assist in troubleshooting and incident response.
Participate in code/design reviews; write clear documentation and visualizations for stakeholders.

Minimum Qualifications

Bachelor’s in Computer Science, Engineering, Statistics, Mathematics, or related field.
0–2 years of relevant experience (internships, projects, or research count).
Proficiency in Python and core ML/data libraries: scikit-learn, pandas, numpy.
Familiarity with building and evaluating machine learning models and metrics.
Knowledge of Git, unit testing, and basic software engineering practices; SQL experience.

Preferred Qualifications