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Kaleris

Associate AIML Software Engineer

Posted 11 Days Ago
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In-Office
Chennai, Tamil Nadu, IND
Entry level
In-Office
Chennai, Tamil Nadu, IND
Entry level
As an Associate AIML Software Engineer, you'll develop and deploy ML models, maintain data pipelines, improve CI/CD, and monitor model performance.
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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.

Why Kaleris

  • Build AI that measurably improves global operations.
  • Mentorship, growth paths, and diverse project exposure across the AIML team.
  • Competitive pay, comprehensive benefits, and inclusive culture.

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Top Skills

AWS
Azure
Docker
GCP
Kubernetes
Numpy
Pandas
Python
PyTorch
Scikit-Learn
TensorFlow

Kaleris Chennai, Tamil Nadu, IND Office

Zenith, Phase III, Unit No: 4 9th floor, CSIR Road , Chennai, India, 600 113

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