AI Engineer

Nidec - Saint Louis, MO

Full-time

Saint Louis, MO

Computer and Electronic Product Manufacturing

About the position

The AI Systems Engineer will lead the development of an advanced AI system aimed at streamlining the creation and verification of internal data. This role requires a strong background in artificial intelligence, machine learning, and natural language processing, with a focus on developing and deploying AI models to enhance data accuracy and efficiency.

Responsibilities

• Design, develop, and deploy an AI system capable of creating accurate and comprehensive data from internal sources.
• Oversee the entire AI development lifecycle, including data collection, model training, testing, and deployment.
• Gather, clean, and organize internal processes and specifications data.
• Develop and maintain a structured dataset for training and fine-tuning AI models.
• Utilize OpenAI's GPT or similar models to develop and fine-tune AI systems for data creation and accuracy verification.
• Implement machine learning techniques to enhance model performance and accuracy.
• Integrate the AI system with existing internal tools and databases to facilitate seamless data flow and usage.
• Develop user interfaces and APIs to enable efficient interaction with the AI system.
• Conduct thorough testing of the AI system to ensure it meets performance metrics and accuracy requirements.
• Validate the model's output and iterate on design based on feedback and performance data.
• Create comprehensive documentation for the AI system, including design specifications, user guides, and troubleshooting information.
• Provide training and support to internal users to ensure effective use of the AI system.
• Monitor the AI system's performance and make iterative improvements based on user feedback and evolving business needs.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in developing and deploying AI and machine learning models, particularly with natural language processing (NLP) and data extraction tasks.
• Hands-on experience with OpenAI's GPT models or similar large language models.
• Strong background in data management, including data collection, cleaning, and structuring.
• Experience in integrating AI systems with internal databases and user interfaces.
• Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., TensorFlow, PyTorch).
• Strong understanding of machine learning algorithms and NLP techniques.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders.

Nice-to-haves

• Experience with data creation and management.
• Familiarity with cloud platforms and AI deployment tools.
• Knowledge of version control systems (e.g., Git) and software development best practices.

Benefits

• Competitive salary
• Comprehensive health benefits
• Flexible work hours in a hybrid environment
• Professional development opportunities
• Collaborative and innovative work environment