ADVANCED E-SOLUTIONS PTE. LTD. Hiring! Full Time General AI Engineer in Central Region (Singapore), Earn up to SGD 7,500 - Ricebowl

· 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.