Kaleris has opened applications for the Associate AIML Software Engineer role in Chennai for freshers and candidates with up to 2 years of experience. This opportunity is ideal for candidates who want to build careers in AI, machine learning, and data engineering while working on real-world logistics and supply chain systems.
This Kaleris off campus drive for freshers is a great opportunity for candidates searching for AI/ML jobs in Chennai, software engineer roles for freshers, and entry-level machine learning jobs in India. Selected candidates will work on production-grade AI systems that optimize logistics operations, routing, and decision-making.
Company Overview
Kaleris is a global provider of mission-critical software solutions for logistics and supply chain operations. Its platforms help organizations optimize yard operations, terminal throughput, and transportation efficiency using data-driven insights and advanced technologies.
Kaleris focuses on building scalable AI and analytics solutions that improve real-world operational performance across global supply chains.
| Company Name | Kaleris |
| Job Role | Associate AIML Software Engineer |
| Qualification | BE/BTech (Other AI Related) |
| Job Location | Chennai |
| Salary | Rs. 7-14 LPA |
| Experience | 0-2 years |
| Category | Freshers Job |
| Last Date | ASAP |
Role Overview
As an Associate AIML Software Engineer at Kaleris, you will work on developing and deploying machine learning models and data pipelines for core product features. The role involves building AI systems that support logistics optimization, decision intelligence, and operational efficiency.
You will gain hands-on experience in ML model development, MLOps practices, data engineering, and production deployment while working in a collaborative engineering environment.
Eligibility & Qualifications
• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related field
• Freshers or candidates with up to 2 years of experience
• Strong programming skills in Python
• Knowledge of ML/data libraries such as scikit-learn, pandas, and NumPy
• Understanding of machine learning models and evaluation metrics
• Basic knowledge of SQL and software engineering practices
• Familiarity with Git and unit testing
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Key Responsibilities
• Develop and deploy machine learning models (classification, regression, NLP, RL)
• Build and maintain data pipelines for data ingestion and feature engineering
• Support model training, evaluation, and experimentation workflows
• Contribute to CI/CD pipelines for ML services
• Monitor model performance, latency, and drift
• Troubleshoot issues and support production systems
• Participate in code reviews and documentation
• Collaborate with teams to build scalable AI solutions
Skills Required
• Python programming
• Machine learning fundamentals
• Data analysis and preprocessing
• SQL and database knowledge
• Software engineering practices (Git, testing)
• Problem-solving and analytical thinking
• Communication and teamwork
Preferred Skills
• Experience with PyTorch or TensorFlow
• Knowledge of MLflow or experiment tracking tools
• Exposure to Docker, Kubernetes, and cloud platforms
• Interest in logistics and supply chain systems
• Understanding of reinforcement learning
Why Join Kaleris
• Work on real-world AI systems impacting global logistics
• Gain hands-on experience in ML, MLOps, and data engineering
• Learn from experienced engineers and mentors
• Exposure to production-grade AI solutions
• Competitive salary and benefits
• Inclusive and growth-focused work culture
How To Apply For Kaleris Associate AIML Engineer Role in 2026:
Eligible and Interested candidates can apply using the below-mentioned link below before the link expires.
Apply Link: Click Here To Apply
