Your primary mission is to operationalize AI and ML models by designing, building, and maintaining scalable, resilient, and efficient ML infrastructure and deployment pipelines
Job Summary
Your primary mission is to operationalize AI and ML models by designing, building, and maintaining scalable, resilient, and efficient ML infrastructure and deployment pipelines.
You will work closely with AI Solutions Engineers, Data Scientists, Cloud Architects, and business stakeholders to bring transformative AI use cases to life across the organization.
This is an exceptional opportunity to shape the future of AI deployment in a highly data-centric environment, while gaining deep exposure to both traditional Machine Learning and the rapidly evolving world of Generative AI.
Matching Summary
Your primary mission is to operationalize AI and ML models by designing, building, and maintaining scalable, resilient, and efficient ML infrastructure and deployment pipelines.
Skills & Requirements
Must-have
ML/AI pipelines with CI/CD
DevOps in ML lifecycle
Containerization and orchestration
Cloud-native ML deployment
MLOps best practices
Distributed computing environments
Nice-to-have
Generative AI exposure
Mentoring junior engineers
Continuous learning culture
Analytical and systems-oriented thinking
Collaboration-focused mindset
Key Requirements
Master’s degree or Bachelor’s with experience
DevOps tools and practices experience
Containerization and orchestration tools proficiency