
AI Developer
PT. Swapro International
| Penempatan : Surabaya | |
| Bidang Profesi : Engineering | |
| Kategori : Fulltime | |
| Pengalaman : 3 - 5 Tahun | |
| Pendidikan : Min. SMA/SMK | |
| Cara Kerja : WFH Only | |
| Gaji Ditawarkan : Rp 8.500.000 - 15.000.000 / bln | |
| Bonus : IDR / bln | |
| Paling Lambat : 24 Apr 202623:00 |
Informasi Penting
Pastikan perusahaan yang anda lamar resmi dengan memeriksa website dan Pekerjaan mereka. Hati-hati dengan penipuan ! Pelajari kriteria lebih lanjut- Design, develop, and implement AI/ML models for various use cases (e.g., automation, prediction, NLP, computer vision).
- Build and optimize data pipelines for training and deploying AI models.
- Collaborate with cross-functional teams (product, engineering, and business stakeholders) to define AI-driven solutions.
- Evaluate model performance and continuously improve accuracy, scalability, and efficiency.
- Integrate AI models into existing systems, applications, or APIs.
- Conduct research on new AI technologies and propose improvements or innovations.
- Prepare technical documentation and reports in English.
- Communicate progress, findings, and technical concepts clearly to both technical and non-technical stakeholders.
- Fluent in English (written and spoken) – MUST
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent practical experience).
- Proven experience as an AI Developer, Machine Learning Engineer, or similar role.
- Strong proficiency in Python and common AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of machine learning algorithms, deep learning, and data modeling.
- Experience working with structured and unstructured data.
- Ability to explain complex technical concepts clearly in English.
- Experience with Natural Language Processing (NLP), Computer Vision, or Generative AI.
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Experience deploying models into production environments.
- Knowledge of data engineering tools and MLOps practices.
- Experience working in an international or remote team environment.
Hard Skill
Redis Teknik Data Neural Network Pengenalan Pola
Soft Skill
Deep Learning Data Mining Machine Learning Computer Vision