
OpenAI model training engineer
1 week ago
Company Description
FirstEigen is a leader in data quality and trustability solutions, empowering organizations to ensure reliable, accurate data for critical decision-making. Our flagship product, DataBuck, is trusted by Fortune 100 companies to validate and monitor millions of records in real-time, delivering unmatched precision and scalability. Built on a foundation of innovation, DataBuck leverages cutting-edge AI and machine learning to detect hard-to-catch errors, reduce false alerts, and simplify data validation processes. We help enterprises transform their data into a trusted asset, driving better outcomes and operational efficiency.
Role Description
This is a full-time remote role for an OpenAI Model Training Engineer. The engineer will be responsible for developing and fine-tuning AI models using OpenAI's tools and libraries, creating robust data pipelines, conducting extensive testing, and ensuring model performance and accuracy. Tasks will include data pre-processing, model evaluation, and collaboration with other teams to integrate AI solutions into existing platforms.
Qualifications
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and OpenAI's tools
- Experience in RAG and finetuning
- Experience in training Small Language Models
- Strong programming skills in Python
- Proficiency in developing and fine-tuning machine learning models
- Experience in data pre-processing and data pipeline creation
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for model deployment
- Excellent problem-solving and analytical skills
- Ability to work independently and remotely
- Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
- Experience in deploying AI models in production is a plus
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