AI Cloud Architect for Pharma

6 hours ago

Hyderabad, Telangana, India beBeeInfrastructure Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Cloud Infrastructure Architect for Pharmaceutical Industry

The primary objective of this role is to design and develop a cutting-edge AI infrastructure on the AWS cloud platform, tailored for pharmaceutical business use-cases.

Main Responsibilities:
  • Lead the architecture and design of a GPU-based AI infrastructure platform with a focus on supporting Generative AI workloads and advanced analytics for pharma business use-cases.
  • Collaborate closely with biomedical research scientists to develop technical solutions for ML/Ops hosted on K8 EKS clusters.
  • Oversee data storage, retrieval, and processing pipelines, ensuring efficient handling of large datasets.
  • Implement robust security measures for multi-cloud environments and ensure compliance with industry standards.
  • Collaborate with biomedical research and data scientists to understand their needs and translate them into technical solutions.
  • Optimize performance and cost-efficiency of the platform, including monitoring and scaling resources as needed.
Key Requirements:
  • Strong technical experience delivering infrastructure services across geographic and business boundaries.
  • Experience working with GPU-based AI infrastructures and NVIDIA DGX is highly preferred.
  • Deep understanding of architecture and design with a focus on data science, ML/Ops, and bio science or pharma Gen AI foundational models.
  • Extensive experience building infra solutions on AWS, particularly with services like AWS Bedrock, Amazon Q, Sage Maker, ECS/EKS.
  • Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes.
  • Experience with Dev Ops practices and tools, including CI/CD pipelines, Ia C, and monitoring solutions.
  • Excellent collaboration skills with business users, product teams, and security for implementing compliance.
  • Good knowledge of implementing well-defined change management processes for platforms and products.

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