AI Developer VA
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Hourly rates · No lock-in contracts
Entry Level
$10 / hr
Intermediate ★
$12 / hr
Senior
$14 / hr
Responsibilities
- - Design, develop, and implement AI models and algorithms to solve business problems and enhance organizational processes.
- - Collaborate with data scientists, business analysts, and stakeholders to understand project requirements and objectives.
- - Collect, clean, and preprocess data for AI model training and validation.
- - Develop and optimize machine learning and deep learning algorithms using programming languages such as Python, R, or TensorFlow.
- - Experiment with different AI techniques and architectures to improve model performance and accuracy.
- - Deploy AI models into production environments and integrate them with existing systems and applications.
- - Monitor AI model performance and troubleshoot issues, such as bias, overfitting, or underfitting.
- - Document code, algorithms, and methodologies used in AI development projects.
- - Stay updated on AI research, technologies, and best practices to drive innovation and continuous improvement.
- - Collaborate with cross-functional teams to ensure AI solutions meet business requirements and objectives.
Requirements
- - Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
- - Proven experience in AI development, with expertise in machine learning, deep learning, and natural language processing.
- - Proficiency in programming languages commonly used in AI development, such as Python, R, or Java.
- - Strong understanding of AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
- - Experience with data manipulation and analysis tools, such as pandas, NumPy, or MATLAB.
- - Familiarity with cloud computing platforms and services for AI development and deployment (e.g., AWS, Azure, Google Cloud).
- - Excellent problem-solving and analytical skills, with the ability to understand complex algorithms and methodologies.
- - Effective communication and collaboration skills, with the ability to work well in a team environment.
- - Attention to detail and commitment to producing high-quality code and models.
- - Continuous learning mindset to stay updated on AI research, technologies, and best practices.
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