Model Development & Deployment: Design, develop, and implement machine learning models for applications in Computer Vision, Predictive Analytics, Recommendation Systems, or Generative AI.
Data Processing: Work with large datasets to clean, preprocess, and analyze data for machine learning tasks.
Algorithm Implementation: Apply advanced machine learning techniques and algorithms, including supervised, unsupervised, and deep learning models.
Model Training & Tuning: Train machine learning models and fine-tune hyperparameters to optimize performance.
Collaboration: Collaborate with cross-functional teams (data scientists, software engineers, and product managers) to integrate AI solutions into production environments.
Performance Optimization: Continuously evaluate and improve the performance of existing models and algorithms.
Research & Innovation: Stay updated on the latest AI/ML research and tools, exploring innovative approaches to improve models and workflows.
Documentation & Reporting: Maintain clear documentation of model architectures, training processes, and evaluation metrics.
Yu cu ng vin
Technical Skills:
Experience in Machine Learning: Practical knowledge in one or more of the following areas: Computer Vision: Object detection, image classification, segmentation, etc.
Predictive Analytics: Time-series forecasting, anomaly detection, etc.
Recommendation Systems: Collaborative filtering, content-based filtering, etc.
Generative AI: Natural language generation, deep generative models (GANs, VAEs), large language models (LLMs), etc.
Programming Languages: Proficiency in Python; familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
Data Handling: Experience with data manipulation libraries (Pandas, NumPy), and working knowledge of SQL for querying databases.
Model Deployment: Understanding of deploying models into production using cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes).
Version Control: Proficient in Git for version control and collaboration.
Qualifications:
Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
At least 4 years of experience in AI/ML development, with a strong portfolio of projects demonstrating your expertise in relevant fields.
Soft Skills:
Problem-solving and analytical mindset.
Strong communication skills to collaborate with technical and non-technical teams.
Ability to learn quickly and adapt to new tools and technologies.
Nice to Have:
Experience with cloud-based AI services (AWS Sagemaker, Google AI, Azure ML).
Knowledge of MLOps frameworks for automating the deployment and management of ML models.
Understanding of natural language processing (NLP).
Contributions to open-source projects or publications in AI/ML.
Quyn li
Working in a young and professional environment.
Staying in a friendly and spiritual space (daily tea break, weekly sports time, monthly outdoor activity and annual holiday).
Obtaining guidance and awareness of advanced technologies.
Earning very competitive salary.
Being reviewed to increase salary twice per year.
Receiving social insurance according to Vietnamese Government regulations.
Having opportunity to join Football, Gym, Badminton and Swimming Club.
