AI/ML Architect Associate
Skills
About the role
Overview:
AI Architect - Associate
Responsibilities:
AI Architect - Associate (8+ Years of Total Experience)
Proven Delivery: Lead the end-to-end lifecycle of complex AI projects, moving beyond prototypes to deliver robust, production-grade industrial solutions.
Advanced AI Orchestration: Architect sophisticated Agentic AI systems and advanced RAG pipelines, utilizing Knowledge Graphs for context-aware reasoning.
Model Optimization: Demonstrate deep expertise in Python and the fine-tuning of LLMs to tailor model performance for specific domain requirements.
Modern Full-Stack: Build high-performance, scalable backends using FastAPI and lead full-stack development to ensure seamless integration of AI features.
Technical Governance: Own the technical roadmap by delivering rigorous High-Level (HLD) and Low-Level Designs (LLD) that ensure system scalability.
Cloud Native: Design and deploy secure, resilient architectures on AWS, leveraging cloud-native services to support heavy AI workloads.
Domain Expertise: Apply your experience in PLM or Manufacturing to solve real-world industrial challenges at the intersection of digital and physical worlds.
Engineering Excellence: Drive best practices in CI/CD, code quality, and security, ensuring that AI solutions meet the highest enterprise standards.
Visionary Leadership: Act as a hands-on technical mentor, bridging the gap between cutting-edge AI research and practical, value-driven engineering.
Qualifications:
Degree : B.Tech/B.E.
Essential skills:
Must-have Skills : Artificial Intelligence, Architectural Design, Full Stack (for AI Integration), Agent, Python
Degree : B.Tech/B.E.
Branch : Scientific, Information Technology, Computers, Mechanical Engineering
Requirements:
AI Architect - Associate (8+ Years of Total Experience)
Proven Delivery: Lead the end-to-end lifecycle of complex AI projects, moving beyond prototypes to deliver robust, production-grade industrial solutions.
Advanced AI Orchestration: Architect sophisticated Agentic AI systems and advanced RAG pipelines, utilizing Knowledge Graphs for context-aware reasoning.
Model Optimization: Demonstrate deep expertise in Python and the fine-tuning of LLMs to tailor model performance for specific domain requirements.
Modern Full-Stack: Build high-performance, scalable backends using FastAPI and lead full-stack development to ensure seamless integration of AI features.
Technical Governance: Own the technical roadmap by delivering rigorous High-Level (HLD) and Low-Level Designs (LLD) that ensure system scalability.
Cloud Native: Design and deploy secure, resilient architectures on AWS, leveraging cloud-native services to support heavy AI workloads.
Domain Expertise: Apply your experience in PLM or Manufacturing to solve real-world industrial challenges at the intersection of digital and physical worlds.
Engineering Excellence: Drive best practices in CI/CD, code quality, and security, ensuring that AI solutions meet the highest enterprise standards.
Visionary Leadership: Act as a hands-on technical mentor, bridging the gap between cutting-edge AI research and practical, value-driven engineering.
Desired skills:
Secondary Skills :
PLM (Teamcenter, BMIDE, ITK, C, C++), AWS
Experience:
Exp: 8.0 to 12.0 Year
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