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Advanced Generative AI Engineer
3 weeks ago
Are you passionate about pushing the boundaries of artificial intelligence?
As a key member of our engineering team, you will design and develop cutting-edge generative AI models using techniques like RAG, transformers, and other relevant approaches.
The ideal candidate will be responsible for:
- Developing training and deployment pipelines for machine learning, implementing model compression algorithms, and productionizing machine learning research solving challenging business problems.
- Fine-tuning pre-trained LLMs for specific tasks and domains.
- Conducting research on new techniques for improving the performance and capabilities of generative AI models.
- Applying software engineering rigor and best practices to machine learning /Generative AI pipelines.
- Evaluating and analysing the performance of ML/generative AI models.
- Staying up to date on the latest advancements in generative AI research.
To succeed in this role, you will need:
- A 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 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.
- Methodical and meticulous towards work and planning.
This is an exciting opportunity to build a rewarding career where you can make a meaningful impact on products and services.
