Generative AI Developer

Job Title: Generative AI Developer (3-5 YoE)

Job Location: Singapore

Job Summary:

We are looking for a highly skilled and experienced Generative AI Developer to join our team. The ideal candidate will have a strong understanding of generative AI Models, Frameoworks, techniques and be able to apply them to develop innovative solutions. The successful candidate will also have a proven track record of working in cloud computing environments and be able to deploy and manage machine learning models in the cloud.

Responsibilities:

Design, develop, and implement generative AI models using state-of-the-art techniques. Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow. Develop and maintain clear and concise documentation of generative AI models, processes, and results.

Communicate complex concepts and results to both technical and non-technical stakeholders. Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.

Qualifications:

Bachelor's degree in computer science, artificial intelligence, or a related field.

3-5 years of experience in generative AI development.

Strong programming skills in Python/Java.

Experience with machine learning frameworks, such as TensorFlow, PyTorch, or

scikit-learn.

Experience with cloud computing platforms, such as Google Cloud Platform (GCP).

Excellent communication and problem-solving skills.

Ability to work independently and as part of a team.

Must Have Skills Technical Skills

Programming languages: Python, Java, or C++

Machine learning frameworks: TensorFlow, PyTorch, or scikit-learn

Cloud computing platforms: Google Cloud Platform (GCP)

Natural language processing (NLP)

Generative adversarial networks (GANs)

Variational autoencoders (VAEs)

Diffusion models

Data visualization