Senior Software Engineer - AIML

myworkdayjobs

Chennai, India 5 Years Exp Posted 51d ago

Job Description

What You’ll Do

  • 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).
  • Experience building enterprise applications with Java and Spring Boot.
  • 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.

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