全职 General AI Engineer 工作, 薪水 up to SGD 8,500, ADVANCED E-SOLUTIONS PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

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Key Skills:
GenAI,Azure Services and OpenAI integration, AWS Services, Python, Java, ML, LLM, AIAgents

Job Summary:

• We are seeking a highly skilled and experiencedSenior GenAI Engineer to join our team. The ideal candidate will have a strongbackground in GenAI development, with a focus on Azure and AWS integration.Experience with AWS and Azure GenAI services is preferred. As a Senior GenAIEngineer, you will play a key role in designing, developing, and implementingcutting-edge GenAI solutions that leverage the power of Azure and AWStechnologies.

Responsibilities:

• Design, develop, and implement GenAI solutions thatintegrate with Azure and AWS platforms.
• Collaborate with cross-functional teams to gatherrequirements and define project objectives.
• Conduct research and stay up-to-date with thelatest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAItechnologies. Develop and maintain scalable and efficient codebase for GenAIapplications.
• Optimize GenAI models and algorithms forperformance and accuracy.
• Troubleshoot and debug GenAI applications, ensuringsmooth operation and minimal downtime.
• Collaborate with data scientists and machinelearning engineers to enhance GenAI capabilities.
• Provide technical guidance and mentorship to juniorteam members.
• Stay informed about industry trends and bestpractices in GenAI engineering and cloud service integration.

Requirements:

• Bachelor’s or master’s degree in computer science,Engineering, or a related field.
• Proven experience as a GenAI Engineer, with a focuson Azure and OpenAI integration.
• Experience with AWS and Azure GenAI services ispreferred.
• Strong programming skills in languages such asPython and/or Java.
• Experience with Azure services, including AzureWebApp services, Azure AI Services, and Azure Functions.
• Experience with Large Language model integrationwith APIs, building AI agents and working with multi-modal models.
• Understanding of machine learning algorithms anddeep learning frameworks.
• Proficiency in data preprocessing, featureengineering, and model evaluation techniques.
• Strong problem-solving and analytical skills.Excellent communication and collaboration abilities.
• Ability to work independently and as part of a teamin a fast-paced environment.

Preferred Qualifications:

• Experience with AWS services, such as Amazon ECS,Fargate, Lambda, Dynamo DB, Bedrock etc.
• Good to have knowledge of Google Cloud services,including Google Cloud AI Platform, Google Cloud Functions, and Google CloudAutoML.
• Experience with cloud-based deployment and scalingof GenAI applications on Azure, AWS, and Google Cloud.
• Knowledge of containerization technologies such asDocker and Kubernetes.
• Familiarity with DevOps practices and tools forCI/CD pipelines.

Contributions to open-source GenAI or cloud serviceintegration projects.