 
						AI DevOps
1 day ago
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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