
Advanced Generative AI Specialist
2 days ago
Key Role Overview
- We are seeking a highly skilled Senior Machine Learning Engineer to join our core team of young hustlers building the next generation of Machine Learning platform & services.
Key Responsibilities:
- Developing AI Models: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
- Fine-tuning LLMs: Fine-tune pre-trained LLMs for specific tasks and domains.
- Research and Development: Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Applying Software Engineering Rigor: Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
- Evaluating Model Performance: Evaluate and analyse the performance of ML/generative AI models.
- Staying Up-to-Date with Advancements: Stay up to date on the latest advancements in generative AI research.
- Deploying Proof-of-Concept Systems: Facilitate the development and deployment of proof-of-concept Generative AI systems.
Qualifications include: 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 is also required.
- 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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