Core AI / Technical Must-Haves
- 10+ years of overall experience, with strong exposure to AI/ML solution delivery.
- Proven experience in delivering AI projects from POC to Production — this is mandatory.
- Strong AI education / AI Certifications is a must
- AZURE Open AI stack is a must
- Strong experience in AI requirement analysis and converting business problems into AI solution requirements.
Good understanding of AI model concepts, including
- :Supervised / unsupervised learning basic
- sNLP / computer vision fundamentals (as relevant
- )Generative AI / LLM use case
- sModel evaluation metric
- sModel limitations, explainability, and risk area
- sExperience in AI costing / estimation, including cloud consumption, model/API costing, implementation effort, and ROI analysis
- .Experience preparing or contributing to AI RFP / RFx responses, solution proposals, SOW inputs, and technical bid discussions
- .Experience working with data science, ML engineering, cloud, and platform teams on production-grade AI deployments
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Strong knowledge of AI delivery lifecycl
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- ryUse case qualificati
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- otProduction deployme
- ntAdoption and optimizati
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