Associate AIML Software Engineer at Kaleris

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Scikit-learn, Pandas, Numpy, Git, SQL, PyTorch, TensorFlow, MLflow, Docker, Kubernetes, Azure, AWS, GCP, Classification, Regression

Industry

Logistics;Transportation;Supply Chain and Storage

Description

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. At Kaleris, we encourage creativity, delight in innovation, and foster opportunities to grow. We believe every move matters, especially career moves. We’re building the connected, visible, sustainable, and reliable global supply chain of the future. And we're looking for the best and brightest people to join our team.

Responsibilities

The role involves developing, testing, and deploying machine learning models for core product features such as classification, regression, NLP, and RL, while also building and maintaining data pipelines for ingestion and feature engineering. Responsibilities include automating training/evaluation workflows, contributing to CI/CD for ML services, and monitoring model performance and latency.