Software Engineer - AIML at Kaleris

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

09 Jul, 26

Salary

0.0

Posted On

10 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine learning, Scikit-learn, Pandas, Numpy, PyTorch, TensorFlow, SQL, Git, Docker, Kubernetes, Azure, AWS, GCP, CI/CD, Data wrangling

Industry

Logistics;Transportation;Supply Chain and Storage

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). Experience with model governance, monitoring, and automated retraining. Domain knowledge in logistics/supply chain operations. 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. 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

Design, build, and maintain production machine learning systems for logistics and supply chain products. Manage end-to-end ML workflows including data ingestion, model training, deployment, and continuous monitoring.