AI Engineer
On-siteWuxi, Jiangsu, China
Job Summary
Design and deploy machine learning, deep learning, and computer vision models to optimize manufacturing processes and improve product quality. Collect, preprocess, and analyze large datasets to train and evaluate AI systems, while collaborating with cross-functional teams to translate business needs into feasible solutions. Implement and maintain AI solutions in production environments, continuously monitoring performance and optimizing algorithms using Python, TensorFlow, or PyTorch. Develop technical documentation including design specifications and test plans, and stay current with emerging AI trends to enhance project outcomes.
Required Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or related field
- Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or related field
- 2+ years of experience in AI/Machine Learning
- Proficiency in Python
- Proficiency in Java
- Proficiency in C++
- Proficiency in SQL
- Proficiency in Rust
- Proficiency in LangChain
- Proficiency in LlamaIndex
- Proficiency in Docker
- Proficiency in Kubernetes
- Proficiency in Git
- Proficiency in CI/CD tools
- Deep understanding of Transformer architecture
- Experience with Prompt Engineering
- Knowledge of CNN algorithms
- Knowledge of RNN algorithms
- Knowledge of classical algorithms
- Knowledge of machine learning algorithms
- Knowledge of statistical modeling
- Experience with data preprocessing
- Experience with feature engineering
- Experience with model evaluation
- Experience with computer vision projects
- Experience with natural language processing projects
- Experience with recommendation system projects
- Experience with AI solution deployment on AWS
- Experience with AI solution deployment on Azure
- Experience with AI solution deployment on GCP
Desired Qualifications
- Experience with computer vision projects
- Experience with natural language processing projects
- Experience with recommendation system projects
- Experience with AI solution deployment on AWS
- Experience with AI solution deployment on Azure
- Experience with AI solution deployment on GCP
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