Kaleris Careers | Associate AIML Engineer

Kaleris Careers | Associate AIML Engineer

Kaleris seeking talented individuals for the role of Associate AIML Engineer. This is an unparalleled opportunity for fresh graduates and early career professionals to work on cutting-edge artificial intelligence and machine learning solutions that transform global logistics and supply chains.

Kaleris Careers Details:

Job Role: Associate AIML Engineer

Job ID: R-100483

Experience: 0-2 Years (Freshers Eligible)

Qualification: Bachelor’s in Computer Science, Engineering, Statistics, Mathematics, or related field.

Job Location: Chennai


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
  • Exposure to PyTorch or TensorFlow; experiment tracking (MLflow or similar).
  • Experience with Docker, Kubernetes, and a major cloud (Azure/AWS/GCP).
  • Interest in logistics/supply chain and reinforcement learning concepts.

How to Apply Kaleris Recruitment Drive? 

All interested and Eligible candidates can apply this drive by the following link.

Application Link: Click Here

Note: Apply the job before link Expires

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