Azure Machine Learning, Azure Cognitive Services, Azure OpenAI Service, Prompt Engineering, MLOps
- Design, develop, and integrate AI solutions using Azure AI services aligned to business requirements.
- Build and iterate AI prototypes and workflows using Azure AI Studio, improving solution quality through experimentation and evaluation.
- Implement end-to-end AI pipelines including data preparation, model/service selection, prompt/workflow design (where applicable), and deployment to Azure environments.
- Collaborate with cross-functional teams to define use cases, success metrics, and acceptance criteria for AI features.
- Ensure solutions meet performance, scalability, security, and compliance expectations in cloud deployments.
- Monitor and troubleshoot AI solutions in production, driving continuous improvement through feedback loops and iterative releases.
- Document architectures, workflows, and operational runbooks to support maintainability and knowledge sharing. Minimum Qualifications:
- Bachelor's degree in B.Tech (or equivalent) in Computer Science, IT, Engineering, or a related field.
- 2–5 years of experience delivering software or cloud solutions with hands-on exposure to Azure AI services.
- Working experience with Azure AI Studio for building, testing, and refining AI solutions/workflows.
- Strong understanding of cloud fundamentals, APIs/integration patterns, and production-grade engineering practices.
- Ability to communicate clearly with technical and non-technical stakeholders and work effectively in a team setting. Preferred Qualifications:
- Experience designing solution architectures for AI workloads on Azure, including environment setup, deployment patterns, and operational considerations.
- Familiarity with responsible AI practices such as safety, privacy, bias considerations, and governance controls in enterprise settings.
- Experience with evaluation approaches for AI solutions (quality, latency, cost), and iterative optimization based on measurable outcomes.
- Exposure to CI/CD and automation for deploying and maintaining AI solutions in Azure.
- Proven ability to translate ambiguous problem statements into implementable AI workflows and deliver incrementally with stakeholders.
