Azure AI Engineer-Data Scientist

Bellevue, WA - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description

We are seeking an experienced Azure AI Engineer Administrator with 5 years of expertise in managing deploying and optimizing AI solutions across traditional AI Propensity Models Forecasting ML algorithms and Generative AI capabilities The role requires deep knowledge of Azure AI Foundry advanced NLP models BERT ROUGE and generative AI frameworks like Azure OpenAI Copilot Studio Agent and Agent to Agent orchestration as well as strong proficiency in AI Core algorithms XGBoost Bayesian Random Forest and modern MLOps practices The ideal candidate will ensure scalable secure and high performing AI solutions that align with business objectives

Design implement and administer AI solutions on Azure AI Foundry for enterprise scale workloads
Build and finetune Generative AI models leveraging Azure OpenAI BERT ROUGE Mistral Claude Sonnet Anthropic
Develop AI workflows using Copilot Studio Agents Agent to Agent communication and MCP Model Control Protocol
Implement and optimize AI Core algorithms such as XGBoost Bayesian networks and Random Forest for predictive analytics and forecasting
Ensure end to end model lifecycle management including training deployment monitoring and retraining
Integrate Generative AI capabilities into enterprise applications using secure and scalable architectures
Collaborate with data scientists engineers and business teams to convert business needs into AI solutions
Utilize MLOps pipelines for CICD model versioning and automated deployments in Azure
Monitor performance capacity and cost metrics for AI infrastructure and optimize as needed
Enforce AI governance security compliance and responsible AI principles across all solutions
5 years of hands on experience in AIML development and administration within Azure ecosystem
Strong expertise in Azure AI Foundry BERT ROUGE and Generative AI frameworks
Proficiency with AI Core algorithms such as XGBoost Bayesian models and Random Forest
Experience working with Azure OpenAI Copilot Studio Agent Agent to Agent orchestration and MCP
Strong programming skills in Python and experience with frameworks like PyTorch TensorFlow
Knowledge of model evaluation techniques bias detection and ethical AI principles
Handson experience in MLOps CICD for AI and infrastructure automation in Azure
Understanding of vector databases embeddings and RAG Retrieval Augmented Generation workflows
Bachelors or Masters degree in Computer Science AIML Data Science or related field
Microsoft Certified Azure AI Engineer Associate or equivalent certification
Proven experience in finetuning LLMs and working with multiagent AI systems
Familiarity with Azure Machine Learning Copilot extensibility and plugin development
Exposure to AI observability tools bias mitigation techniques and compliance frameworks
Strong analytical and communication skills to engage with technical and nontechnical stakeholders

Skills

Mandatory Skills : Python - Data Science

Job Description We are seeking an experienced Azure AI Engineer Administrator with 5 years of expertise in managing deploying and optimizing AI solutions across traditional AI Propensity Models Forecasting ML algorithms and Generative AI capabilities The role requires deep knowledge of Azure AI Foun...

Job Description

Design implement and administer AI solutions on Azure AI Foundry for enterprise scale workloads
Build and finetune Generative AI models leveraging Azure OpenAI BERT ROUGE Mistral Claude Sonnet Anthropic
Develop AI workflows using Copilot Studio Agents Agent to Agent communication and MCP Model Control Protocol
Implement and optimize AI Core algorithms such as XGBoost Bayesian networks and Random Forest for predictive analytics and forecasting
Ensure end to end model lifecycle management including training deployment monitoring and retraining
Integrate Generative AI capabilities into enterprise applications using secure and scalable architectures
Collaborate with data scientists engineers and business teams to convert business needs into AI solutions
Utilize MLOps pipelines for CICD model versioning and automated deployments in Azure
Monitor performance capacity and cost metrics for AI infrastructure and optimize as needed
Enforce AI governance security compliance and responsible AI principles across all solutions
5 years of hands on experience in AIML development and administration within Azure ecosystem
Strong expertise in Azure AI Foundry BERT ROUGE and Generative AI frameworks
Proficiency with AI Core algorithms such as XGBoost Bayesian models and Random Forest
Experience working with Azure OpenAI Copilot Studio Agent Agent to Agent orchestration and MCP
Strong programming skills in Python and experience with frameworks like PyTorch TensorFlow
Knowledge of model evaluation techniques bias detection and ethical AI principles
Handson experience in MLOps CICD for AI and infrastructure automation in Azure
Understanding of vector databases embeddings and RAG Retrieval Augmented Generation workflows
Bachelors or Masters degree in Computer Science AIML Data Science or related field
Microsoft Certified Azure AI Engineer Associate or equivalent certification
Proven experience in finetuning LLMs and working with multiagent AI systems
Familiarity with Azure Machine Learning Copilot extensibility and plugin development
Exposure to AI observability tools bias mitigation techniques and compliance frameworks
Strong analytical and communication skills to engage with technical and nontechnical stakeholders