
Senior AI Systems Architect
3 days ago
We are seeking a highly skilled professional to join our core team in the field of Generative AI.
Key Responsibilities:- Design and Develop Advanced AI Models: Utilize techniques like RAG, transformers, and other relevant approaches to create innovative generative AI models.
- Fine-tune Pre-trained LLMs: Tailor pre-trained Large Language Models (LLMs) for specific tasks and domains to achieve optimal results.
- Conduct Research and Development: Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Apply Software Engineering Best Practices: Apply software engineering best practices to machine learning/generative AI pipelines to ensure high-quality deliverables.
- Evaluate and Analyze Model Performance: Evaluate and analyze the performance of ML/generative AI models to identify areas for improvement.
- Stay Current with Industry Advancements: Stay current with the latest advancements in generative AI research to ensure our solutions remain cutting-edge.
- Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 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 a good understanding of 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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