8 years of handson technical experience in software engineering with at least 3 years in a leadership role managing crossfunctional teams including GenAImachine learning and cloud infrastructure.
Handson Experience in designing and developing largescale systems including GenAIAPI architecturesdata systemsML pipelines and cloudnative applications.
Programming Languages: Proficiency in PythonJavaScriptJava or other backend languages. Experience with API development (RESTful APIs GraphQL).
Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlowPyTorchscikitlearn and spaCy with handson experience in integrating them into GenAI applications.
Preferred: Hands on experience in GCP/Data Engineering/DevOps
Client Interview Needed for Selection (Yes / No)
No
Detailed JD (Pl share the Detailed Description 1 liner JD will not work)
The AI architect will play a pivotal role in architectingleading and actively contributing to the development of GenAI applications machine learning modelsdata engineering pipelines and cloudnative infrastructure. This handson leadership position requires extensive technical expertise and experience in managing a diverse crossfunctional team of engineers spanning GenAI App Development Data ScienceMachine LearningFull StackDevOpsCloud Infrastructure and API development.
Be responsible for architecting complex systems making critical decisions and leading teams to deliver highquality scalable solutions while remaining directly involved in codingtechnical design and problemsolving.
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