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AI/ML Architect

AI/ML Architect

Recro

10 years

0 Lacs

Bengaluru Karnataka India

Posted:2 months ago| Platform:

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Skills Required

ai ml design deployment leadership learning vision analytics drive architecture data strategy forecasting training inference latency processing model integration support fusion strategies visual engineering tooling tracking drift compliance security collaboration devops optimization

Work Mode

On-site

Job Type

Full Time

Job Description

Title: AI/ML Architect Location: Onsite – Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning, computer vision, and real-time analytics. You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3 rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture &Strategy  Define the end-to-end architecture for AI/ML systems including time series forecasting, computer vision, and real-time classification.  Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices.  Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration  Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support.  Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3 rd party data ingestion). MLOps & Engineering  Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection.  Ensure compliance, security, and auditability of deployed ML models. Collaboration &Leadership  Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals.  Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Show more Show less

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AI/ML Architect