Your Role and ResponsibilitiesIn this position, you’ll be immersed in the forefront of the AI revolution. Your duties will include critically assessing generative AI models and processes/enhancements related to them, establishing quality benchmarks, and challenging models’ capabilities.
Your role and responsibility will encompass:
- Critically assessing and pushing the boundaries of generative AI models and tuning of such models, focusing on LLM models
- Establishing and upholding stringent quality benchmarks
- Collaborate with the research team to develop state-of-the-art NLP solutions utilizing LLM models
A successful candidate for this role should demonstrate:
- An intrinsic motivation, coupled with an insatiable appetite for continuous learning
- Proficiency in crafting and sustaining tools to amplify productivity
- Robust analytical capabilities and a keen problem-solving acumen
- A tenacity to assume responsibility, driving problems to their resolution and tasks to fruition
- Proficiency in collaborating seamlessly within diverse team dynamics
Required Technical and Professional Expertise
- Professional experience in AI/ML model development and evaluation with solid foundation in linear algebra, statistics, and optimization
- Familiar with automated ML models evaluations techniques, including Large Language Models (LLMs)
- Familiar with advanced model training methodologies including prompt tuning and fine-tuning with foundational models
- Proficient in Python, with experience in coding and debugging in Python and Jupyter Notebook
- Demonstrated ability to critically assess and challenge AI (including LLM) models to ensure optimal performance
- Fluent in written and spoken English
Preferred Technical and Professional Expertise
- Expertise & up-to-date knowledge of advances in Foundation Models area, focusing on Large Language and Multimodal Models
- Design, develop NLP models to extract insights and information from unstructured data
- Background in developing and implementing test automation frameworks and strategies
- Experience with cloud environments