AI Engineer
Newbridge Alliance View all jobs
- Chongqing
- Permanent
- Full-time
- AI Model Development: Design, build, and deploy machine learning models and AI algorithms for applications such as NLP, computer vision, predictive analytics, and recommendation systems
- Data Preparation: Partner with data engineers to gather, clean, and transform large datasets, ensuring model accuracy and reliability
- Model Optimization: Continuously refine and tune models to enhance performance, scalability, and accuracy
- Research & Innovation: Keep up with the latest AI and machine learning research and apply state-of-the-art techniques to complex challenges
- Cross-Functional Collaboration: Work closely with product managers, developers, and business stakeholders to ensure AI solutions meet user needs and company objectives
- Deployment & Maintenance: Put models into production, monitor their performance, and maintain their accuracy over time
- Documentation: Maintain clear documentation for models, codebases, and processes to support scalability and future enhancements
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field
- 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role
- Solid understanding of AI/ML algorithms, data structures, and mathematical fundamentals
- Experience with ML frameworks such as TensorFlow, PyTorch, or Keras
- Proficiency in programming languages like Python, C++, or Java
- Experience deploying models on cloud platforms (AWS, Google Cloud, or Azure) is a plus
- Strong grasp of data science concepts, including supervised and unsupervised learning, deep learning, and reinforcement learning
- Ability to work with large datasets using tools like NumPy, Pandas, and SQL
- Experience with model evaluation methods and performance metrics
- Familiarity with version control (Git) and agile development practices
- Strong problem-solving and critical-thinking skills
- Excellent communication skills for effective collaboration with teams and stakeholders
- Strong organizational skills and ability to manage multiple priorities
- Team-oriented mindset with a proactive approach to sharing knowledge and learning from others