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AI DevOps / Infrastructure Engineer

AI DevOps / Infrastructure Engineer

Dizzaroo Pvt LtdIndia
9 hours ago
Job description

AI DevOps / Infrastructure Engineer

Company : Dizzaroo Pvt Ltd

Location : Pune

About Us

Dizzaroo is an AI-driven life sciences company developing intelligent solutions for clinical research, oncology, and digital pathology . Our teams work at the intersection of advanced AI engineering and disease biology to transform how pharma companies discover and develop new therapies.

We are looking for an AI DevOps / Infrastructure Engineer to design, implement, and manage our cloud and on-prem infrastructure that powers model training, inference, and secure application deployments. This role will directly influence the scalability, performance, and security of our AI platforms.

Responsibilities

  • Define and implement the overall infrastructure strategy for AI model training and inference — across on-premise and cloud environments.
  • Build reliable and automated systems for continuous deployment and monitoring of AI applications and services.
  • Ensure secure, compliant, and cost-efficient operation of all infrastructure components.
  • Establish and maintain information-security controls in alignment with company policies (e.g., access management, data handling, logging, encryption).
  • Collaborate with AI, data, and product teams to translate research prototypes into production systems .
  • Drive infrastructure optimization and standardization to support rapid experimentation and scaling.
  • Contribute to documentation, disaster-recovery planning, and operational readiness reviews.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field (or equivalent practical experience).
  • 3–7 years of experience in DevOps, Cloud, or Infrastructure Engineering — ideally supporting AI or data-intensive workloads.
  • Solid understanding of multi-cloud environments and containerized deployments.
  • Demonstrated ability to automate workflows , manage compute resources, and deliver secure production systems.
  • Familiarity with information-security frameworks (ISO 27001, HIPAA, or similar) is preferred.
  • Nice to Have

  • Experience designing infrastructure for GPU-based training or inference .
  • Exposure to pharma, healthcare, or regulated-data environments .
  • Interest in scaling AI products from research to enterprise adoption.
  • What We Offer

  • Opportunity to build the core infrastructure powering next-generation AI in life sciences .
  • Collaborative environment bridging AI research, clinical development, and engineering .
  • Competitive compensation and growth opportunities.
  • Work on global AI initiatives solving important life science problems.
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