
Chief Generative AI Architect
3 days ago
Role Overview
Senior Machine Learning EngineerThe ideal candidate will be a seasoned professional with extensive experience in developing and deploying machine learning models, particularly in the field of generative AI. This position requires a strong background in computer science, machine learning, and artificial intelligence, as well as expertise in software engineering principles and best practices.
Key Responsibilities:
- Design and implement cutting-edge generative AI models using advanced techniques such as RAG, transformers, and other relevant approaches.
- Fine-tune pre-trained language models for specific tasks and domains to achieve optimal performance.
- Conduct research on new techniques for improving the performance and capabilities of generative AI models, staying up-to-date with the latest advancements in the field.
- Apply rigorous software engineering principles and best practices to ensure the development and deployment of high-quality machine learning pipelines.
- Evaluate and analyze the performance of ML/generative AI models, identifying areas for improvement and implementing necessary adjustments.
Requirements:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Minimum 5 years of experience in generative AI or related fields, with a proven track record of success in developing and deploying machine learning models.
- Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
- Strong programming skills in Python, with proficiency in relevant libraries and frameworks.
- Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
- Ability to work independently, managing multiple projects and priorities while meeting deadlines.
- Methodical and meticulous approach to work, with a focus on delivering high-quality results.
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