
Senior AI Development Specialist
6 days ago
Develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research to solve challenging business problems.
- Design and develop generative AI models using techniques like RAG and transformers.
- Fine-tune pre-trained LLMs for specific tasks and domains to improve their performance and capabilities.
- Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Apply software engineering rigor and best practices to machine learning/generative AI pipelines.
- Evaluate and analyze the performance of ML/generative AI models.
- Stay up-to-date on the latest advancements in generative AI research.
- Facilitate the development and deployment of proof-of-concept Generative AI systems.
Required qualifications include a Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Experience with generative AI or related fields is necessary, along with strong programming skills in Python, familiarity with RAG and other techniques for building generative models, extensive experience with Git, Docker, and a good understanding of Linux for managing servers. Excellent communication and collaboration skills are also required.
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