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Technical Architect
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹3,000,000 – ₹4,500,000 / year
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
21 August 2026
What they need
Location: PAN India
Exp Range: 15+
Job Summary
We are seeking a highly skilled Technical Architect Industrial AI with expertise in MLOps AIML platforms Data Engineering Cloud Architecture and Industrial AI solutions The ideal candidate will be responsible for designing scalable AI platforms defining MLOps frameworks architecting endtoend machine learning solutions and enabling AI adoption across industrial manufacturing engineering and enterprise environments
Key Responsibilities
AI Solution Architecture
Define and implement enterprisewide AIML architecture and technical strategy
Design scalable AI platforms for predictive analytics computer vision generative AI and industrial automation use cases
Architect endtoend AI solutions from data ingestion to model deployment and monitoring
Define reusable AI framework components standards and best practices
Evaluate emerging AI technologies and recommend suitable architectures
MLOps Platform Engineering
Design and implement MLOps pipelines for model development training deployment monitoring and retraining
Establish CICD processes for machine learning workflows
Build automated model lifecycle management and governance frameworks
Define model versioning experiment tracking feature stores and model registries
Implement observability monitoring drift detection and performance management frameworks
Cloud Data Architecture
Architect cloudnative AI solutions using Azure AWS or GCP
Design data pipelines supporting AI and machine learning workloads
Define integration patterns between AI platforms enterprise systems and operational technologies
Ensure security scalability reliability and compliance of AI platforms
Collaborate with Data Engineers Data Scientists and application teams to optimize architecture
Industrial AI Digital Manufacturing
Architect AI solutions for predictive maintenance quality inspection anomaly detection process optimization and digital twins
Design integrations between industrial systems IoT platforms MES ERP and AI platforms
Enable realtime analytics and edge AI capabilities for industrial environments
Support Industry 40 and smart manufacturing initiatives
Required Skills
Strong expertise in MLOps architecture and implementation
Preferred Skills
Industrial AI and Manufacturing domain experience
Experience with IoT Edge AI Digital Twins and Industry 40 solutions
Knowledge of Generative AI LLMs RAG and AI Agents
Experience with Spark PySpark Python and MLOps automation
Familiarity with data lakehouses and modern data platforms
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