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Posted on 5 Nov, 2025
In Office
Job Description | Responsibilities
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Develop HLDs and LLDs for technical and business stakeholders
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Collaborate with data science, AI, and DevOps teams to build scalable AI solutions
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Define integration strategies with enterprise systems (ERP, CRM, IoT)
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Ensure cloud-native deployment (AWS, Azure, GCP) using MLOps best practices
Overview
- Industry - IT - INFORMATION TECHNOLOGY
- Functional Area - IT Robotics & Automation / IoT / Machine Learning
- Job Role - Technical Lead - Solution Architect - RPA / AI / ML
- Employment type - Full Time
- Work Mode - In Office
Qualifications
- Any Graduate - Any Specialization
- Any Post Graduate - Any Specialization
- Any Doctorate - Any Specialization
Job Related Keywords
MLOps
Cloud Architecture
DevOps
TensorFlow
PyTorch
AWS
Azure
GCP
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