AI Engineer

4 days ago

Singapore ANTAS PTE. LTD. Full time $120,000 - $180,000 per year

POSITION OVERVIEW : AI Engineer

POSITION GENERAL DUTIES AND TASKS :

Position Summary:

We are seeking a highly skilled and experienced GenAI Engineer to join our team. The ideal candidate will have a strong background in GenAI development, with a focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred. As a GenAI Engineer, you will play a key role in designing, developing, and implementing cutting-edge GenAI solutions that leverage the power of Azure and OpenAI technologies.

Role and Responsibilities:

  • Design, develop, and implement GenAI solutions that integrate with Azure and OpenAI platforms.

  • Collaborate with cross-functional teams to gather requirements and define project objectives.

  • Conduct research and stay up-to-date with the latest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAI technologies.

· Develop and maintain scalable and efficient codebase for GenAI applications. · Optimize GenAI models and algorithms for performance and accuracy.

  • Troubleshoot and debug GenAI applications, ensuring smooth operation and minimal downtime.

  • Collaborate with data scientists and machine learning engineers to enhance GenAI capabilities.

  • Provide technical guidance and mentorship to junior team members.

  • Stay informed about industry trends and best practices 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 focus on Azure and OpenAI integration. Experience with AWS and Google GenAI services is preferred.

  • Strong programming skills in languages such as Python and/or Java.

  • Experience with Azure services, including Azure Machine Learning, Azure Cognitive Services, and Azure Functions.

Familiarity with OpenAI technologies, such as GPT-3/4 and reinforcement learning frameworks.

  • Solid understanding of machine learning algorithms and deep learning frameworks.

  • Proficiency in data preprocessing, feature engineering, and model evaluation techniques.

· Strong problem-solving and analytical skills. · Excellent communication and collaboration abilities.

  • Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications:

  • Experience with AWS services, such as Amazon SageMaker, AWS Lambda, and AWS AI/ML services.

  • Knowledge of Google Cloud services, including Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML

  • Experience with cloud-based deployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.

  • Knowledge of containerization technologies such as Docker and Kubernetes.

· Familiarity with DevOps practices and tools for CI/CD pipelines. · Contributions to open-source GenAI or cloud service integration projects

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