jobs in ADVANCED E-SOLUTIONS PTE. LTD.

ADVANCED E-SOLUTIONS PTE. LTD. Hiring! Full Time General AI Engineer in Central Region (Singapore), Earn up to SGD 8,500 - Ricebowl

General AI Engineer

ADVANCED E-SOLUTIONS PTE. LTD.

SGD7,500 - SGD8,500 Per Month

Full Time

Outram, Central Region (Singapore)

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Working Location

  • Outram Central Region (Singapore) Singapore

Job Description

Responsibilities

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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.

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