
AI Innovation Engineer
4 days ago
AI Innovation Engineer Role
The ideal candidate will be a key member of our core team, playing a crucial role in developing AI training and deployment pipelines. This position involves implementing model compression algorithms and productionizing research to enhance machine learning capabilities.
Key Responsibilities:
- Generative Model Development: Design and develop innovative generative models using RAG and transformers.
- Model Fine-Tuning: Enhance pre-trained large language models for specific tasks and domains.
- Research and Advancements: Stay up-to-date on the latest advancements in generative AI techniques and explore new methods for improving performance and capabilities.
- Software Engineering Rigor: Ensure machine learning/generative AI pipelines adhere to software engineering best practices.
- Model Performance Evaluation: Assess the performance of ML/generative AI models and identify areas for improvement.
Requirements:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- At least 5 years of experience in generative AI or related fields.
- Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring their performance.
- Strong programming skills in Python.
- Familiarity with RAG and other techniques for building generative models.
- Extensive experience with Git, Docker, and Linux for managing servers.
- Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
- Exposure to ML/GenAI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Methodical and meticulous towards work and planning.
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