Education and Experience Requirements
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Bachelors degree or international equivalent with 7 years of relevant experience or 11 years of relevant work experience without a degree
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3 5 years of experience in AI/ML development including designing and deploying ML models
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Strong software engineering background with experience in Python REST APIs microservices and event-driven systems
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Good knowledge of RESTful API principles
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Good understanding of relational databases and SQL querying
Required Technical Experience
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Hands-on experience with Azure Machine Learning Azure OpenAI Cognitive Services and Azure Data Lake
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Experience building RAG (Retrieval Augmented Generation) systems vector embeddings and knowledge retrieval pipelines
-
Perform data preprocessing feature engineering model training hyperparameter tuning validation and performance optimization
-
Ensure resilience scalability and reliability of AI models using cloud-based platforms such as Azure
-
Ensure AI/ML solutions align with enterprise security compliance and governance standards
-
Design and optimize prompts system instructions and orchestration patterns for quality reliability and cost efficiency
AI Agents and Automation
Application and Platform Development
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Implement secure and scalable integrations with cloud data and AI services
-
Participate in code reviews architecture discussions and Agile ceremonies
-
Utilize Git and GitHub for version control and DevOps workflows
-
Apply software design patterns and best practices in application development
Education and Experience Requirements Bachelors degree or international equivalent with 7 years of relevant experience or 11 years of relevant work experience without a degree 3 5 years of experience in AI/ML development including designing and deploying ML models Strong software engineering...
Education and Experience Requirements
-
Bachelors degree or international equivalent with 7 years of relevant experience or 11 years of relevant work experience without a degree
-
3 5 years of experience in AI/ML development including designing and deploying ML models
-
Strong software engineering background with experience in Python REST APIs microservices and event-driven systems
-
Good knowledge of RESTful API principles
-
Good understanding of relational databases and SQL querying
Required Technical Experience
-
Hands-on experience with Azure Machine Learning Azure OpenAI Cognitive Services and Azure Data Lake
-
Experience building RAG (Retrieval Augmented Generation) systems vector embeddings and knowledge retrieval pipelines
-
Perform data preprocessing feature engineering model training hyperparameter tuning validation and performance optimization
-
Ensure resilience scalability and reliability of AI models using cloud-based platforms such as Azure
-
Ensure AI/ML solutions align with enterprise security compliance and governance standards
-
Design and optimize prompts system instructions and orchestration patterns for quality reliability and cost efficiency
AI Agents and Automation
Application and Platform Development
-
Implement secure and scalable integrations with cloud data and AI services
-
Participate in code reviews architecture discussions and Agile ceremonies
-
Utilize Git and GitHub for version control and DevOps workflows
-
Apply software design patterns and best practices in application development
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