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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, popular ML/AI role with common skills at a known employer increases candidate competition.
Core ML/NLP skills are transferable, but Azure OpenAI and RAG specialization moderately limit cross-industry fit.
Explicit 3–5 year requirement plus mandatory Azure OpenAI, Python, Streamlit, and ML frameworks raises shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop, train, evaluate, and deploy AI/ML models including predictive analytics, forecasting, classification, regression, NLP, and Generative AI using Azure OpenAI Studio and Azure AI Services.
Build and deploy scalable web applications and serverless Azure Functions, integrating AI capabilities like Large Language Models and optimized prompt engineering for improved solution performance.
Collaborate with IT and cross-functional teams to integrate AI-driven solutions into enterprise applications with occasional travel as needed.
Minimum Requirements
Bachelor's or Master's degree in Computer Applications, Computer Science, AI, Data Science, or related field (or equivalent experience).
3-5 years of experience in AI/ML development with strong hands-on skills in Machine Learning, NLP, and Generative AI.
Strong proficiency in Python, Streamlit, Azure OpenAI Studio, Azure AI Services, Azure Functions, and ML frameworks like scikit-learn, TensorFlow, or PyTorch.
Work Experience Required: 3-5 years in AI/ML development.
Ideal Candidate Profile
Experienced in end-to-end AI/ML lifecycle on Azure Cloud, including model selection (LLMs), training, prompt engineering, deployment, and optimization.
Capable of developing cloud-native AI applications and scalable serverless solutions integrating advanced AI technologies.
Comfortable working in collaborative, cross-functional environments focused on embedding AI into enterprise-level software solutions.