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Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions.
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Should have 2-3 years of Architecture experience – Mandatory
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Candidates should be hands on AI/ML development - Mandatory
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Experience in using Google CCAI (Contact Center AI) /CES (Customer Experience Suite) platform and it’s components.
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Advanced experience in production grade Machine Learning Model design and implementation including LLMs, Model Evaluation and MLOps.
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In depth exposure and experience in designing and implement machine learning models using Google Vertex AI & Python in the context of Conversational AI.
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Design, build, and deploy machine learning models on the Google Cloud Platform.
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Experience in agentic architecture-based implementations and advanced Retrieval Augmented Generation.
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Conduct thorough testing and validation to ensure the accuracy and reliability of the models. Experience in Eval frameworks and eval metrics.
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Optimize and fine-tune machine learning models for performance, efficiency, and accuracy. Experience in Parameter Efficient Fine Tuning will be an added advantage.
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Stay updated on the latest advancements in machine learning and AI technologies.
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Ability to directly deal with tech experts from product companies such as google and drive solutions to meet customer expectations, goals
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Maturity working in a customer environment with understanding the boundaries.