Are you a budding AI/ML enthusiast looking to kickstart your career with a global leader? Kaleris invites bright minds for its Off Campus Drive 2026, 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 Off Campus Drive 2026: Key Details at a Glance
| Aspect | Detail |
|---|---|
| Company | Kaleris |
| Drive Type | Off Campus Drive 2026 |
| Role | Associate AIML Engineer |
| Experience | 0-2 Years (Freshers Eligible) |
| Educational Qualification | Bachelor’s in Computer Science, Engineering, Statistics, Mathematics, or related field. |
| Job Location | Chennai |
| Salary | As per Industry Standards |
| Application Mode | Online |
| Last Date to Apply | Apply As Soon As Possible |
| Application Link | Refer to Application Section Below |
About Kaleris: Innovating Global Logistics with AI
Kaleris stands at the forefront of logistics and supply chain innovation, developing mission-critical software utilized by leading operators worldwide. Our solutions leverage advanced AI and machine learning to optimize complex operations, from yard management and terminal throughput to intelligent routing and critical decision-making. Joining Kaleris means contributing to real-world AI systems that have a tangible impact on efficiency, sustainability, and global commerce.
Kaleris Off Campus Drive 2026: Associate AIML Engineer Role
As an Associate AIML Engineer at Kaleris, you’ll be part of a dynamic and inclusive team, learning modern ML/MLOps practices and contributing directly to production-grade solutions. This role is designed for those eager to delve into the practical applications of AI and machine learning in a collaborative 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? Your Career in AI/ML Starts Here
Choosing Kaleris for your first or next career step means choosing impact, growth, and innovation. Here’s what makes Kaleris an exceptional place to build your AI/ML career:
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- Meaningful Impact: Build AI solutions that measurably improve global operations, optimizing critical supply chain processes worldwide.
- Accelerated Growth: Benefit from dedicated mentorship, clear growth paths, and diverse project exposure across our advanced AIML team. You’ll continuously learn and evolve your skills.
- Cutting-Edge Technology: Work with modern machine learning practices, MLOps, and cloud technologies in a real-world production environment.
- Inclusive Culture: Thrive in a collaborative, inclusive environment that values diverse perspectives and encourages innovation.
- Comprehensive Rewards: Enjoy competitive pay, comprehensive benefits, and a culture that supports your well-being and professional development.
How To Apply for Kaleris Off Campus Drive 2026
If you’re passionate about AI/ML and ready to make a significant impact on global logistics, don’t miss this opportunity. Desirous candidates meeting the qualifications are encouraged to apply as soon as possible.
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Seize this chance to join Kaleris and contribute to the future of intelligent supply chains!
