Minimum 6+ years of experience in designing and development of AI/ML applications.
Overall close to 15-16 years of Architectural experience required.
Strong handson programming experience (Python required) with the ability to design and implement productionready solutions (experience in JS/NodeJS or .NET/C# is a plus)
Architecture and systemdesign experience, with a proven track record of translating designs into working code (must still code 50–70% of the time)
Practical experience implementing AI/ML solutions endtoend, including data preparation, model usage, and integration into applications (using frameworks like ScikitLearn, TensorFlow, or PyTorch)
Experience designing and building scalable ML/AI systems using APIs, microservices, and eventdriven patterns — with direct handson implementation responsibility
Strong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systems
Cloudnative experience (Azure/AWS) with handson deployment, debugging, and performance tuning of AI workloads
Solid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readiness
Individual contributor role — no people management; must personally design, code, debug, and support solutions
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