05 Aug
|
Kaleris
|
Chennai
Software Engineer - AIML
Experience: 2 to 4 years
Location: Chennai
Skills: Python, scikit-learn, pandas, numpy, machine learning, PyTorch, TensorFlow, SQL, Git, CI/CD, Docker, Kubernetes, Azure, AWS, GCP, Knative, Azure Functions, AWS Lambda
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 setting for all employees.
📌 Software Engineer AIML (Chennai)
🏢 Kaleris
📍 Chennai