Dizzaroo Pvt Ltd logo

AI DevOps / Infrastructure Engineer

7 years

0 Lacs

pune maharashtra india

Posted:3 weeks ago| Platform: Linkedin logo

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Skills Required

ai devops research oncology engineering design model training inference scalability security deployment management data logging drive optimization support experimentation documentation planning technology automate healthcare scaling collaborative development compensation

Work Mode

On-site

Job Type

Full Time

Job Description

AI DevOps / Infrastructure Engineer

Company:

Location:

About Us

clinical research, oncology, and digital pathology

AI DevOps / Infrastructure Engineer

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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