Senior AI Infrastructure Engineer (Vadodara)

Senior AI Infrastructure Engineer (Vadodara)

23 Aug
|
Office Beacon
|
Vadodara

23 Aug

Office Beacon

Vadodara

Description
We are seeking a highly skilled and experienced Senior AI Infrastructure Engineer to join our innovative Information Technology department. This role is pivotal in designing, building, and maintaining the robust and scalable infrastructure essential for our cutting-edge Artificial Intelligence and Machine Learning initiatives. The successful candidate will play a critical role in enabling our data scientists and AI researchers to efficiently develop, train, and deploy advanced models, driving significant impact across our organization. This position offers a unique opportunity to contribute to the foundational architecture that underpins our AI strategies. You will work with a diverse set of technologies, focusing on creating a seamless and performant environment for AI model development, deployment, and management. We are looking for an individual who thrives in a fast-paced environment, possesses deep technical expertise in distributed systems and cloud platforms, and is passionate about solving complex infrastructure challenges to unlock the full potential of AI.





Requirements
Demonstrated expertise in designing and implementing large-scale distributed systems and cloud-native architectures. Profound understanding of machine learning lifecycle and the infrastructure requirements for each stage. Strong command of at least one major cloud platform (AWS, Azure, GCP) with emphasis on AI/ML services. Experience with containerization (Docker) and orchestration technologies (Kubernetes). Proficiency in scripting and automation using languages such as Python, Bash, or Go. Ability to diagnose and resolve complex technical issues in a multi-faceted infrastructure setting.

Responsibilities
Design, implement, and maintain highly available and scalable infrastructure for AI/ML workloads, including compute, storage, and networking components. Develop and manage MLOps pipelines for automated model training, evaluation, versioning, deployment, and monitoring. Op

📌 Senior AI Infrastructure Engineer (Vadodara)
🏢 Office Beacon
📍 Vadodara

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