Kaleris

Software Engineer, AIML

Chennai
Python scikit-learn Pandas NumPy Machine Learning PyTorch TensorFlow SQL Git CI/CD Azure AWS GCP Docker Kubernetes Java Spring Boot API Serverless AWS Lambda
Description

Software Engineer - AIML

Location: Chennai

Time Type: Full time

Job Description

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 progression and technical leadership opportunities.
  • Competitive compensation, benefits, and a culture that values inclusion and craftsmanship.

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Kaleris
Kaleris

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