job description
Join Kooya Inc as a Senior AI Software Engineer specializing in Large Language Models (LLMs) and Machine Learning to drive cutting-edge AI innovation. Based in the vibrant tech hub of Canggu, Bali, youâll work on next-gen AI solutions while enjoying a dynamic work environment with WFH every Friday.
This role offers a competitive salary, the chance to shape AI-driven products, and the flexibility of a modern workplace. If youâre passionate about NLP, deep learning, and scalable AI systems, this is your opportunity to make an impact in a fast-growing tech company.
Kooya Inc is committed to fostering a culture of innovation, collaboration, and continuous learning. As part of our team, youâll contribute to projects that push the boundaries of whatâs possible with AI.
Responsibility
- Design, develop, and optimize Large Language Models (LLMs) and machine learning algorithms for real-world applications.
- Collaborate with cross-functional teams to integrate AI solutions into scalable products.
- Research and implement NLP, deep learning, and generative AI techniques to enhance model performance.
- Develop and maintain AI pipelines, from data preprocessing to model deployment.
- Optimize models for latency, accuracy, and efficiency in production environments.
- Stay updated with the latest AI/ML trends and apply best practices to projects.
- Write clean, maintainable, and well-documented code in Python, TensorFlow, or PyTorch.
- Mentor junior engineers and contribute to technical discussions and architecture decisions.
Qualifications
- Bachelorâs or Masterâs degree in Computer Science, AI, or a related field.
- 3+ years of experience in AI/ML development, with a focus on LLMs, NLP, or deep learning.
- Proficiency in Python and frameworks like TensorFlow, PyTorch, or Hugging Face.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools.
- Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
- Familiarity with data preprocessing, feature engineering, and model evaluation.
- Excellent communication skills and the ability to explain complex AI concepts to non-technical stakeholders.
- Experience with distributed computing and scalable AI systems is a plus.