If you’re passionate about Artificial Intelligence and Machine Learning and looking for a strong entry point into the industry, this opportunity from Kaleris is worth exploring.
Kaleris is hiring for the role of Associate AI/ML Software Engineer in Chennai, offering freshers and early-career professionals a chance to work on real-world AI systems that impact global logistics and supply chain operations.
This role provides hands-on exposure to machine learning models, data pipelines, MLOps practices, and cloud technologies, making it ideal for candidates who want to build a career in AI engineering.
About the Company
Kaleris is a global technology company specializing in mission-critical logistics and supply chain software. Its solutions are used by leading operators worldwide to optimize operations such as yard management, terminal throughput, routing, and decision intelligence.
By leveraging AI and data-driven technologies, Kaleris helps businesses improve efficiency, reduce costs, and make smarter decisions in real time. Working at Kaleris means contributing to systems that directly impact global trade and logistics operations.
Role Overview
As an Associate AI/ML Software Engineer, you will be part of the AIML team working on building and deploying machine learning models used in production systems.
You will gain experience in developing ML models, building data pipelines, automating workflows, and monitoring model performance, all while working in a collaborative and learning-focused environment.
This is a great opportunity to transition from academic knowledge to real-world AI product development.
Key Responsibilities
- Develop, test, and deploy machine learning models (classification, regression, NLP, reinforcement learning)
- Build and maintain data pipelines for ingestion, cleaning, and feature engineering
- Implement reproducible experiments and automate training workflows
- Contribute to CI/CD pipelines for ML services using containers and cloud platforms
- Monitor model performance, latency, and drift
- Troubleshoot issues and assist in incident response
- Participate in code reviews and design discussions
- Create documentation, reports, and visualizations for stakeholders
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Required Skills
- Strong proficiency in Python
- Experience with ML/data libraries such as scikit-learn, pandas, numpy
- Understanding of machine learning models and evaluation metrics
- Basic knowledge of SQL and data handling
- Familiarity with Git and software development practices
- Ability to write clean, maintainable, and efficient code
Preferred Skills (Good to Have)
- Experience with PyTorch or TensorFlow
- Knowledge of MLOps tools (MLflow or similar)
- Familiarity with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP)
- Interest in logistics, supply chain, or reinforcement learning
- Understanding of experiment tracking and model deployment
Who Can Apply (Eligibility)
| Criteria | Requirement |
|---|---|
| Location | Chennai, Tamil Nadu (On-site) |
| Education | Bachelor’s in Computer Science, Engineering, Statistics, Mathematics, or related field |
| Experience | 0–2 years (Freshers eligible) |
| Skills Required | Python, Machine Learning, SQL, Data Handling |
| Preferred Skills | PyTorch, TensorFlow, Docker, Cloud (AWS/Azure/GCP) |
| Soft Skills | Problem-solving, teamwork, communication |
| Work Type | Full-time |
Stipend / Salary (Market Estimate) 💰
Since the exact salary is not disclosed, here’s a realistic estimate based on similar AI/ML roles in India:
💵 ₹6 LPA – ₹10 LPA (Expected Range)
This may vary based on skills, projects, and interview performance.
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Why You Should Apply
This role is an excellent opportunity for candidates who want to:
- Work on real-world AI systems used globally
- Gain hands-on experience in MLOps, CI/CD, and cloud-based ML systems
- Build strong foundations in machine learning engineering and data pipelines
- Learn from experienced professionals in a collaborative environment
- Contribute to impactful solutions in logistics and supply chain optimization
Unlike many entry-level roles, this position offers exposure to production-grade AI systems, which is highly valuable for long-term career growth.
How to Apply
Interested candidates should apply as soon as possible.
Before applying, make sure your resume includes:
- Projects related to machine learning, data science, or AI
- Experience with Python, ML libraries, and data pipelines
- Any exposure to cloud platforms, Docker, or MLOps tools
- GitHub or portfolio links showcasing your work
Click on the apply button below and start your journey as an AI/ML Engineer at Kaleris 🚀
Disclaimer
This job information is collected from official/public sources. We do not charge any fees, do not guarantee recruitment, and are not responsible for any loss arising from reliance on this information.
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