Generative AI Developer

4 weeks ago


Singapore MOCHA CHAI LABORATORIES PTE. LTD. Full time
Roles & Responsibilities

We are seeking a skilled and motivated Generative AI Developer to join our dynamic team. The ideal candidate will work collaboratively on projects involving cutting-edge AI technologies, focusing on research, development, and deployment of generative AI models. This role requires expertise in AI/ML, programming, and experimentation with advanced models to solve complex problems and drive innovation.

Key Responsibilities:

Collaborate with cross-functional teams to design, develop, and optimize generative AI models.

Conduct research on the latest advancements in AI and deep learning to improve existing models and implement innovative solutions.

Develop and implement machine learning algorithms, particularly in the domain of generative AI (e.g., GANs, VAEs, Transformers, LLMs, diffusion models).

Write clean, efficient, and scalable code to support AI applications and pipelines.

Perform testing, debugging, and performance tuning to enhance model efficiency and reliability.

Work with large datasets, preprocess data, and build robust training pipelines.

Deploy AI models into production environments, ensuring scalability and reliability.

Document research findings, development processes, and project progress.

Stay updated with the latest trends in generative AI and contribute to knowledge-sharing within the team.

Qualifications & Skills:

Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.

Proven experience in developing generative AI models and working with deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Strong programming skills in Python and familiarity with ML libraries like Hugging Face, OpenAI, or Stable Diffusion frameworks.

Experience with cloud computing (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.

Understanding of distributed computing, parallel processing, and GPU acceleration for model training.

Knowledge of data engineering, including data preprocessing, augmentation, and feature engineering.

Strong problem-solving skills and the ability to work collaboratively in a team environment.

Excellent communication skills to articulate technical concepts and collaborate with stakeholders.

Preferred Qualifications:

Experience in fine-tuning and optimizing large language models (LLMs) and text-to-image/video generation.

Prior work with Reinforcement Learning with Human Feedback (RLHF) or self-supervised learning.

Knowledge of software development best practices, including version control (Git), CI/CD, and agile methodologies.

Why Join Us?

Work on cutting-edge AI projects with a talented and passionate team.

Opportunities for professional growth and continuous learning.

Flexible working environment with a culture of innovation and collaboration.

If you're excited about the future of AI and want to be part of a team shaping the next generation of generative AI solutions, we'd love to hear from you

Tell employers what skills you have

TensorFlow
Version Control
Performance Enhancement
Kubernetes
Experimentation
Landlords
Agile Methodologies
Customer Care
Data Engineering
PyTorch
Containerization
Operational Planning
User Acceptance Testing
Performance Tuning
GCP
Directing

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