We are seeking an experienced AI/ML Architect to design develop and deploy enterprise-grade applications enhanced with Artificial Intelligence and Machine Learning on Microsoft Azure. The role focuses on Generative AI Retrieval-Augmented Generation (RAG) AI/ML model development and scalable cloud deployment. The ideal candidate will have strong software engineering fundamentals along with hands-on experience building and operationalizing AI/ML solutions in Azure environments.
Key Responsibilities:
- Design and develop AI/ML and Generative AI solutions on Microsoft Azure.
- Build RAG pipelines vector embeddings and knowledge retrieval systems.
- Develop and deploy machine learning models including data preprocessing feature engineering training validation and optimization.
- Implement AI agents and multi-agent workflows for enterprise automation.
- Build secure scalable APIs and microservices integrating AI services.
- Ensure scalability reliability security and governance compliance of AI solutions.
- Participate in architecture discussions code reviews and Agile development processes.
Required Qualifications:
- Bachelors degree in Computer Science Engineering or related field (or equivalent experience).
- 7 years of software development or cloud experience.
- 3 5 years of hands-on AI/ML development experience.
- Strong programming skills in Python REST APIs microservices and event-driven systems.
- Experience with Azure Machine Learning Azure OpenAI Cognitive Services and Azure Data Lake.
- Knowledge of SQL and relational databases.
- Experience with Git/GitHub and modern DevOps practices.
We are seeking an experienced AI/ML Architect to design develop and deploy enterprise-grade applications enhanced with Artificial Intelligence and Machine Learning on Microsoft Azure. The role focuses on Generative AI Retrieval-Augmented Generation (RAG) AI/ML model development and scalable cloud de...
We are seeking an experienced AI/ML Architect to design develop and deploy enterprise-grade applications enhanced with Artificial Intelligence and Machine Learning on Microsoft Azure. The role focuses on Generative AI Retrieval-Augmented Generation (RAG) AI/ML model development and scalable cloud deployment. The ideal candidate will have strong software engineering fundamentals along with hands-on experience building and operationalizing AI/ML solutions in Azure environments.
Key Responsibilities:
- Design and develop AI/ML and Generative AI solutions on Microsoft Azure.
- Build RAG pipelines vector embeddings and knowledge retrieval systems.
- Develop and deploy machine learning models including data preprocessing feature engineering training validation and optimization.
- Implement AI agents and multi-agent workflows for enterprise automation.
- Build secure scalable APIs and microservices integrating AI services.
- Ensure scalability reliability security and governance compliance of AI solutions.
- Participate in architecture discussions code reviews and Agile development processes.
Required Qualifications:
- Bachelors degree in Computer Science Engineering or related field (or equivalent experience).
- 7 years of software development or cloud experience.
- 3 5 years of hands-on AI/ML development experience.
- Strong programming skills in Python REST APIs microservices and event-driven systems.
- Experience with Azure Machine Learning Azure OpenAI Cognitive Services and Azure Data Lake.
- Knowledge of SQL and relational databases.
- Experience with Git/GitHub and modern DevOps practices.
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