GenAI Engineer
Exasoft Pte Ltd
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Design, develop, and implement GenAI solutions that integrate with Azure and AWS platforms.
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Collaborate with cross-functional teams to gather requirements and define project objectives.
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Conduct research and stay up-to-date with the latest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAI technologies.
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Develop and maintain scalable and efficient codebase for GenAI applications.
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Optimize GenAI models and algorithms for performance and accuracy.
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Troubleshoot and debug GenAI applications, ensuring smooth operation and minimal downtime.
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Collaborate with data scientists and machine learning engineers to enhance GenAI capabilities.
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Provide technical guidance and mentorship to junior team members.
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Stay informed about industry trends and best practices in GenAI engineering and cloud service integration.
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Bachelor s or master s degree in computer science, Engineering, or a related field.
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Proven experience as a GenAI Engineer, with a focus on Azure and OpenAI integration.
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Experience with AWS and Azure GenAI services is preferred.
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Strong programming skills in languages such as Python and/or Java.
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Experience with Azure services, including Azure WebApp services, Azure AI Services, and Azure Functions.
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Experience with Large Language model integration with APIs, building AI agents and working with multi-modal models.
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Understanding of machine learning algorithms and deep learning frameworks.
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Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
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Strong problem-solving and analytical skills.
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Excellent communication and collaboration abilities.
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Ability to work independently and as part of a team in a fast-paced environment.
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Experience with AWS services, such as Amazon ECS, Fargate, Lambda, Dynamo DB, Bedrock etc.
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Good to have knowledge of Google Cloud services, including Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML.
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Experience with cloud-based deployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.
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Knowledge of containerization technologies such as Docker and Kubernetes.
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Familiarity with DevOps practices and tools for CI/CD pipelines.
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Contributions to open-source GenAI or cloud service integration projects.
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