AI DevOps

1 week ago

Pune, Maharashtra, India Dizzaroo Pvt Ltd Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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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