Enterprise AI Architect

Title: Enterprise AI Architect (FDE-Oriented)

Location: Minnetonka Mills, MN - Remote is fine

Duration: 6-12+ Months contract

Rate $75-80/hr on c2c with VMS charges

Job Description:-

AI Architect| Exp 10 or moreMust Have| Strong understanding of AIML concepts supervisedunsupervised learning| deep learning| NLP| computer vision| LLMsExperience with ML frameworks TensorFlow| PyTorch| Scikit-learnHands-on experience with MLOps tools and practicesStrong data engineering knowledge (ETL| data lakes| streaming)API design and microservices architectureProficiency in Python or similar languagesCloud Architecture| Expertise in AzureExperience designing distributed and scalable systemsKnowledge of containers and orchestration (Docker| Kubernetes)||Roles Responsibilities||Design end-to-end AIML solutions aligned with business objectivesDefine AI system architectures including data pipelines| model lifecycle| APIs| and deployment strategiesEvaluate and select appropriate AIML models| frameworks| and platformsEnsure scalability| performance| security| and reliability of AI systemsCollaborate with data scientists to operationalize models (MLOps)Guide teams on model training| validation| deployment| monitoring| and retrainingDesign data architectures for structured and unstructured dataEstablish best practices for AI governance| explainability| and bias mitigation Essential Skills: AI Architect| Exp 10 or moreMust Have| Strong understanding of AIML concepts supervisedunsupervised learning| deep learning| NLP| computer vision| LLMsExperience with ML frameworks TensorFlow| PyTorch| Scikit-learnHands-on experience with MLOps tools and practicesStrong data engineering knowledge (ETL| data lakes| streaming)API design and microservices architectureProficiency in Python or similar languagesCloud Architecture| Expertise in AzureExperience designing distributed and scalable systemsKnowledge of containers and orchestration (Docker| Kubernetes)||Roles Responsibilities||Design end-to-end AIML solutions aligned with business objectivesDefine AI system architectures including data pipelines| model lifecycle| APIs| and deployment strategiesEvaluate and select appropriate AIML models| frameworks| and platformsEnsure scalability| performance| security| and reliability of AI systemsCollaborate with data scientists to operationalize models (MLOps)Guide teams on model training| validation| deployment| monitoring| and retrainingDesign data architectures for structured and unstructured dataEstablish best practices for AI governance| explainability| and bias mitigation Desirable Skills: Google Cloud Architect

Keyword: ~Google Cloud Architect~

Skills: Digital : Google Cloud~AI and Automation~AI Agents~AI & Gen AI - Products & Tools Experience Required: 8-10

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