ML Platform & Fullstack AI Engineer
Hyderabad, Telangana, India • Posted June 04, 2026
Job Type:
Full-time
Location:
Hyderabad, Telangana
Posted:
June 04, 2026
Category:
Computer Occupations
Application Deadline:
July 14, 2026
Role Description
ML Platform & Fullstack AI Engineer
Years of experience - 4+
Location - Hyderabad
Hybrid Model
This role builds and maintains the foundation to allow productionizing AI use cases easily. Because there is no existing AI platform or standardized way to integrate AI products into our internal production systems, this is not a maintenance role; it is a platform-building role. The T-shape means depth in ML infrastructure and AI platform engineering, with the horizontal reach to build the integration layer between AI systems and existing production systems.
CORE RESPONSIBILITIES
– Build and maintain the ML platform from the ground up: experiment tracking, model registry, model serving, CI/CD for ML, and monitoring
– Own GenAI infrastructure: vector databases, LLM serving (e.g. LiteLLM), RAG pipeline architecture, evaluation and observability frameworks
– Design and implement data pipelines that feed both classical ML models and GenAI applications into prod...
Years of experience - 4+
Location - Hyderabad
Hybrid Model
This role builds and maintains the foundation to allow productionizing AI use cases easily. Because there is no existing AI platform or standardized way to integrate AI products into our internal production systems, this is not a maintenance role; it is a platform-building role. The T-shape means depth in ML infrastructure and AI platform engineering, with the horizontal reach to build the integration layer between AI systems and existing production systems.
CORE RESPONSIBILITIES
– Build and maintain the ML platform from the ground up: experiment tracking, model registry, model serving, CI/CD for ML, and monitoring
– Own GenAI infrastructure: vector databases, LLM serving (e.g. LiteLLM), RAG pipeline architecture, evaluation and observability frameworks
– Design and implement data pipelines that feed both classical ML models and GenAI applications into prod...
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