Software Engineer - AIML

Kaleris — Chennai

Job Description: About Kaleris and the Role As an AIML Software Engineer at Kaleris, you’ll design, build, and maintain production ML systems that power decision-making across logistics and supply chain products. Partner with data scientists and product teams to deliver scalable model training, serving, monitoring, and continuous improvement. What You’ll Do Own end-to-end ML workflows: data ingestion, feature engineering, training, validation, deployment, and observability. Implement robust model serving and APIs; ensure reliability, performance, and security. Develop simulators/training environments for safe evaluation of model behavior. Automate CI/CD pipelines for ML using containers and cloud-native tooling. Monitor model health, detect drift, run A/B tests, and support automated retraining. Write clean, well-tested code; contribute to requirements, design, and peer reviews. Minimum Qualifications Bachelor’s/Master’s in Computer Science or related field; 2–4 years of ML/software engineering experience. Strong Python skills with hands-on experience using scikit-learn, pandas, numpy, and machine learning algorithms. Experience with PyTorch or TensorFlow, SQL, and data wrangling at scale. Proficiency with Git, unit/integration testing, and CI/CD. Experience deploying to Azure/AWS/GCP with Docker and Kubernetes. Preferred Qualifications Reinforcement learning exposure (policy learning, reward design, evaluation) and/or simulation (discrete-event or agent-based). Hands-on experience building enterprise applications with Java and Spring Boot. Experience with model governance, monitoring, and automated retraining. Domain knowledge in logistics/supply chain operations. Hands-on experience with serverless functions for model serving and event-driven data processing, such as Knative, Azure Functions, and AWS Lambda (Amazon Lambda). Why Kaleris High-impact ML work at the frontier of decision intelligence for the supply chain. Collaborative, global team; clear career progre

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