Deskripsi Pekerjaan
Join Triple Y Studio as an AI Engineer and revolutionize how businesses operate through intelligent automation. We're seeking a visionary professional to architect cutting-edge AI workflows that transform raw data into actionable insights and streamline content production. In this pivotal role, you'll design scalable machine learning solutions that drive operational efficiency, reduce manual workloads, and unlock new revenue streams. Collaborate with cross-functional teams to implement AI-powered systems that enhance decision-making and accelerate innovation. Triple Y Studio offers a dynamic environment where your expertise in artificial intelligence will directly impact our digital transformation journey. If you're passionate about harnessing AI to solve complex business challenges and create measurable value, this is your opportunity to shape the future of intelligent automation.
Tanggung Jawab
- Design, develop, and deploy end-to-end AI workflows and automation systems
- Implement machine learning models to optimize content generation and business processes
- Collaborate with product teams to identify automation opportunities and define AI solutions
- Integrate AI technologies with existing digital infrastructure for seamless operations
- Monitor and optimize AI system performance using continuous improvement methodologies
- Develop data pipelines for training, validation, and deployment of AI models
- Document AI architectures and create technical specifications for implementation
Kualifikasi
- Bachelor's degree in Computer Science, AI, or related field (or equivalent experience)
- Proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch)
- Strong understanding of machine learning algorithms and statistical modeling
- Experience with cloud-based AI services (AWS SageMaker, Azure ML, GCP AI)
- Knowledge of data preprocessing, feature engineering, and model evaluation
- Ability to translate business requirements into technical AI solutions
- Familiarity with CI/CD practices for AI model deployment and maintenance