
Advanced Generative AI Engineer
1 day ago
We are seeking a skilled professional to fill the role of Generative AI Developer. As a key member of our team, you will be responsible for designing and developing advanced generative AI models using techniques such as RAG, transformers, and other relevant approaches.
The ideal candidate will have a strong background in computer science and machine learning, with experience in building data pipelines, deploying ML/GenAI models in production, and monitoring their performance. You will also be expected to conduct research on new techniques for improving the performance and capabilities of generative AI models, and apply software engineering rigor and best practices to machine learning/genAI pipelines.
Some of the key responsibilities of this role include:
- Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
- Fine-tune pre-trained LLMs for specific tasks and domains.
- 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/genAI pipelines.
- Evaluate and analyze the performance of ML/genAI models.
To be successful in this role, you will need:
- A Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 3-5 years of experience in generative AI or related fields.
- Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining 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.
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