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The Role
Professional Experience : 8+ years of experience in AI / ML engineering with a proven track record of deploying AI applications on Azure, specifically involving LLM APIs for GenAI
DevOps Knowledge : familiarity with CI / CD pipelines, containerization (Docker), and orchestration (Kubernetes)
Data Management : Experience in data preprocessing, cleaning, transformation, and knowledge of SQL / NoSQL databases
API Integration : Experience with creating and consuming RESTful APIs and integrating LLM-based services with other systems
Automation : familiar with creating and managing bots in the Automation Anywhere environment
Front End : experience in wireframing, UI / UX processes, and / or creating front end web pages
Automations : Experience with Digital Workers / robotic process automation (RPA)
Education / Training :
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with relevant Azure certifications being a plus
Ideal Profile
Professional Experience : 8+ years of experience in AI / ML engineering with a proven track record of deploying AI applications on Azure, specifically involving LLM APIs for GenAI
DevOps Knowledge : familiarity with CI / CD pipelines, containerization (Docker), and orchestration (Kubernetes)
Data Management : Experience in data preprocessing, cleaning, transformation, and knowledge of SQL / NoSQL databases
API Integration : Experience with creating and consuming RESTful APIs and integrating LLM-based services with other systems
Automation : familiar with creating and managing bots in the Automation Anywhere environment
Front End : experience in wireframing, UI / UX processes, and / or creating front end web pages
Automations : Experience with Digital Workers / robotic process automation (RPA)
Education / Training :
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with relevant Azure certifications being a plus
What's on Offer?
- Sr AI / ML Software Developer