job description
Join SATS as an AI Engineer and be at the forefront of cutting-edge technology in Bali! We are seeking a passionate and innovative AI Engineer to develop and implement advanced AI solutions that drive business growth and efficiency. This role offers the unique opportunity to work in a dynamic, collaborative environment while enjoying the vibrant culture and lifestyle of Bali.
As an AI Engineer at SATS, you will work on exciting projects that leverage machine learning, natural language processing, and data analytics to solve real-world challenges. Whether you're based in Canggu, Ubud, or any of Bali's stunning locations, you'll have the flexibility to work remotely or in a hybrid setting.
If you are a creative thinker with a strong background in AI and a desire to make an impact, we want to hear from you!
Responsibility
- Design, develop, and deploy AI models and algorithms to solve complex business problems.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Research and implement the latest advancements in machine learning, deep learning, and NLP.
- Optimize AI models for performance, scalability, and accuracy.
- Develop and maintain data pipelines to support AI initiatives.
- Conduct experiments and analyze results to improve model performance.
- Stay updated with industry trends and emerging technologies in AI.
- Document processes, methodologies, and best practices for AI development.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI, or a related field.
- Proven experience in developing and deploying AI models in production environments.
- Strong proficiency in Python, TensorFlow, PyTorch, or similar AI frameworks.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms (AWS, GCP, Azure) and AI tools.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and collaboratively in a remote or hybrid setting.
- Strong communication skills to convey technical concepts to non-technical stakeholders.