
AI Researcher
4 days ago
We are seeking a talented Machine Learning Engineer to join our team.
- Develop Intelligent Models: Develop, implement and maintain generative AI models using various techniques such as RAG, transformers and other relevant approaches.
- Refine Pre-Trained Models: Fine-tune pre-trained LLMs for specific tasks and domains to achieve exceptional results.
- Push Research Boundaries: Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Apply Engineering Rigor: Apply software engineering principles and best practices to machine learning/generative AI pipelines.
- Evaluate Model Performance: Evaluate and analyze the performance of ML/generative AI models to identify areas for improvement.
- Stay Up-to-Date: Stay up to date with the latest advancements in generative AI research to maintain expertise.
- Drive Proof-of-Concept Development: Facilitate the development and deployment of proof-of-concept Generative AI systems.
- 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 with a strong focus on model development and deployment.
- Experience in building data pipelines, deploying ML/GenAI models in production and monitoring their performance.
- Strong programming skills in Python, with 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, with the ability to work independently and as part of a team.
- Methodical and meticulous approach to work and planning.
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