AI Engineer

Antas Pte. Ltd.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology company in Singapore is seeking an experienced AI Engineer to design and implement cutting-edge GenAI solutions. Candidates should have a strong background in GenAI development, especially focusing on Azure and OpenAI integration. This role requires proficiency in programming languages like Python and experience with various cloud services, including AWS and Google Cloud. Competitive packages and opportunities for mentorship are offered.

Qualifications

• Proven experience as a GenAI Engineer, focusing on Azure and OpenAI integration.
• Strong programming skills in languages such as Python and/or Java.
• Excellent communication and collaboration abilities.

Responsibilities

• Design, develop, and implement GenAI solutions integrating with Azure and OpenAI platforms.
• Collaborate with cross-functional teams to gather requirements.
• Conduct research and stay informed about advancements in GenAI technologies.

Skills

GenAI development

Azure integration

OpenAI technologies

Programming in Python

Machine learning algorithms

Problem-solving skills

Communication skills

Education

Bachelor's or master's degree in computer science or a related field

Tools

Azure Machine Learning

AWS services

Google Cloud services

Docker

Kubernetes

Job description

POSITION OVERVIEW : AI Engineer

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.

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.