Deskripsi Pekerjaan
Join Syncronetix Sdn. Bhd. as an AI Specialist and be at the forefront of technological innovation! We're seeking a passionate AI Engineer to transform cutting-edge artificial intelligence into practical solutions that drive business growth. In this dynamic role, you'll develop and implement AI-powered systems for content generation, process automation, IT project optimization, and workflow enhancement. You'll collaborate with cross-functional teams to identify opportunities where AI can solve complex challenges, from natural language processing to predictive analytics. Our ideal candidate thrives on solving real-world problems with machine learning, deep learning, and generative AI technologies. At Syncronetix, you'll work in an environment that values creativity, technical excellence, and continuous learning, contributing to projects that make a tangible impact across industries. If you're ready to shape the future of AI applications and drive digital transformation, we encourage you to apply.
Tanggung Jawab
- Design, develop, and deploy AI/ML models for real-world applications including content creation and automation
- Collaborate with IT teams to integrate AI solutions into existing projects and workflows
- Implement natural language processing (NLP) and computer vision technologies
- Optimize machine learning pipelines for performance and scalability
- Research and evaluate emerging AI technologies to identify implementation opportunities
- Create documentation for AI systems and conduct training for stakeholders
- Monitor AI system performance and implement continuous improvement strategies
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field
- 3+ years of experience in AI/ML development with Python and frameworks like TensorFlow/PyTorch
- Strong knowledge of machine learning algorithms and deep learning architectures
- Experience with AI automation tools and workflow optimization systems
- Proficiency in data preprocessing, feature engineering, and model evaluation
- Familiarity with cloud platforms (AWS/Azure/GCP) for AI deployment
- Excellent problem-solving skills and ability to translate business requirements into technical solutions