Kaleris Recruitment Drive; Hiring Associate Software Engineer – Apply Now

Associate AIML Software Engineer Job Openings in Chennai 2026!!!

Kaleris announced job vacancy for the post of Associate AIML Software Engineer. The place of posting will be at Chennai. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Kaleris
Required Qualifications	Graduate
Skills	Basic software engineering practices
Category	Information Technology
Work Type	Onsite

Kaleris builds mission-critical logistics and supply chain software used by leading operators worldwide. Join their 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.

Job Details

Θ Positions: Associate AIML Software Engineer

Θ Job Location: Chennai

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: R-100483

Roles and Responsibilities:

• 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.

Required Skills & 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

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