Senior Software Engineer - AIML

Kaleris Company; Chennai District; On-site; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary

Inclusive culture

Opportunities for growth

Job summary

A leading ML solutions company in Chennai is seeking a Senior AIML Software Engineer to architect and deliver scalable ML/RL systems. This role involves establishing data quality standards, optimizing production workflows, and leading technical reviews. The ideal candidate will have a strong background in Python, deep learning frameworks, and deploying ML systems on cloud platforms. With a competitive salary and benefits, this position offers a chance to influence product direction and mentor talent within a diverse and inclusive workplace.

Qualifications

• 5–8+ years building and operating ML systems in production.
• Proven track record deploying on cloud platforms before.

Responsibilities

• Architect end-to-end ML/RL platforms including pipelines and model serving.
• Establish data quality standards and governance across ML products.
• Lead technical reviews and ensure reproducible experimentation.
• Partner with teams to translate business goals into technical objectives.
• Mentor engineers and promote best practices.

Skills

Python

Deep learning frameworks (PyTorch or TensorFlow)

scikit-learn

pandas

numpy

Docker

Kubernetes

CI/CD

Education

Bachelor’s/Master’s/PhD in Computer Science or related field

Tools

Azure

AWS

GCP

Job description

**Job Description:*** Architect end-to-end ML/RL platforms: pipelines, training/evaluation environments, model serving, monitoring, and incident response.* Establish data quality standards, observability, and governance across ML products.* Optimize production workflows for performance, latency, scalability, and security.* Lead technical reviews, elevate code/design quality, and ensure reproducible experimentation.* Partner cross-functionally to translate business goals into model objectives, success metrics, and deployment strategies.* Mentor and coach engineers and data scientists; promote best practices and continuous improvement.**Minimum Qualifications*** Bachelor’s/Master’s/PhD in Computer Science or related field; 5–8+ years building and operating ML systems in production.* Advanced proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).* Expert-level experience with scikit-learn, pandas, numpy, and machine learning model development and evaluation.* Proven track record deploying on Azure/AWS/GCP; strong with Docker, Kubernetes, and CI/CD.* Hands-on experience with monitoring, drift detection, alerting, and incident response for ML services.**Preferred Qualifications*** Simulation expertise (discrete-event or agent-based), queueing/stochastic modeling, and reinforcement learning in real-world settings.* MLOps depth: model versioning, experiment tracking, automated retraining, governance.* Logistics/supply chain domain experience and optimization in complex/partially observable environments.* Experience with serverless functions and event-driven architectures for low-latency model APIs, including Knative, Azure Functions, and AWS Lambda**Why Kaleris*** Own strategic ML initiatives with direct line-of-sight to customer impact.* Influence product direction and technical standards in a modern AI/ML organization.* Competitive salary and benefits; inclusive culture; opportunities to grow scope and leadership.Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**About Kaleris and the Role**Lead the architecture and delivery of scalable ML/RL systems at Kaleris. As a Senior AIML Software Engineer, you’ll set technical standards, mentor engineers, and drive initiatives from problem framing through production operations, shaping AI solutions that materially improve throughput, cost, and service reliability for global supply chains.**What You’ll Do**