Technical Architect Machine Learning (India)

Technical Architect Machine Learning (India)

15 Aug
|
Quantiphi
|
India

15 Aug

Quantiphi

India

Role & Responsibilities:

Design and architect multi-layered ML solutions using Azure AI Foundry and ensuring they are robust, scalable, and production-ready.
Defining and implementing robust integration strategies between legacy control software (e.g., VB6) and up-to-date Azure ML platforms, ensuring seamless data flow, scalability, and strict data security governance.
Architecting, developing, and deploying advanced machine learning and deep learning models specifically for curve prediction and automated quality scoring.
Designing and implementing sophisticated optimization engines to automate precision movements with micron-level accuracy.
Leading the transition from manual operator heuristics and rule-based systems to automated, data-driven logic and decision-making processes.
Design and architect multi-layered Agentic AI solutions using Azure AI Foundry and LLM Orchestration frameworks (e.g., LangGraph, Semantic Kernel).
Define the technical roadmap for "Plan-and-Execute" agentic loops, specifically for unstructured data extraction and autonomous system updates.




Lead model selection and evaluation strategies, comparing high-reasoning models like Claude 3.5 Sonnet with open-weight alternatives (Llama 3.1) for cost and performance optimization.
Performing extensive data pre-processing on historical calibration data to train and validate models, and building robust production monitoring, alerting, and retraining scripts.
Continuously enhancing, modifying, optimizing, and maintaining existing ML models to improve performance, accuracy, and efficiency.
Working closely with external and internal stakeholders to define requirements for ML use cases, gather feedback, and drive solution enhancements.
Generating actionable insights from large datasets and effectively communicating complex analysis results and model performance to clients and internal stakeholders.
Provide technical leadership to MLEs and Platform engineers to ensure architectural alignment across workstreams

📌 Technical Architect Machine Learning (India)
🏢 Quantiphi
📍 India

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