Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

7–16 yearsBENGALURUofficeDirect Career PageEst. 25–45 LPA

Posted 19h ago

Against your primary resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Metro location, popular AI role, broad experience range increases applicant competition.

Background Fit Sensitivity

(Moderate)

Generative AI expertise plus Azure-specific experience reduces cross-industry transferability.

Shortlisting Strictness

(High)

Many explicit technical years and mandatory GenAI and Azure skill requirements.

Structured overview of role & requirements

Design and implement generative AI solutions using various generative and autoregressive models.

Apply generative AI techniques to image generation, text generation, and creative content synthesis use cases.

Architect scalable, reliable, and cost-effective AI solutions on Azure cloud services, including containerized and microservices systems.

4 to 16 years of total work experience.

2-3 years designing and implementing generative AI solutions including prompt engineering and fine tuning.

7+ years of Python programming experience.

3-5 years of experience with Azure AI cloud services and architecture (Azure ML, Cognitive Services, Databricks, AKS).

Experienced in Agentic AI frameworks and multi-agent orchestration with 1-2 years domain exposure.

Strong software development background with 5+ years overall experience including microservices and containerization (Docker, Kubernetes).

Proven ability to architect end-to-end AI solutions and optimize performance on Azure platform.