- Conceptualize, prototype, and work with state-of-the-art LLMs to drive technical solutions
- Enhance and innovate existing model completions with prompt engineering or prompt tuning techniques
- Develop performance monitoring and evaluation pipelines to ensure the quality and effectiveness of generative models
- Stay up-to-date with the latest research and advancements in Generative AI and actively contribute to upskilling of the team
- Minimum of BSc or higher degree in STEM subjectβ―
- Proficient in Python
- Solid knowledge of machine learning concepts (model training, hyper parameter optimisation, experiment tracking, learning curves, etc.) with a focus on NLP and Gen AI
- Familiarity with RAG-based chatbots
- Experience with large language models - chatgpt, llama, falcon, BARD, etc.
- Experience with deep learning frameworks - Tensorflow, Pytorch, Keras, HuggingFace, LangChain etc.
- Familiarity with NLP tasks - NER, POS tagging, Classification, Topic Modeling, Summarization, Question-Answering, etc.
- Can conceptualise, formulate, prototype and implement algorithms to solve technical problems.
- Writing and debugging Python/SQL code adhering to best coding practices (debugging, unit testing, etc.)
- Data Wrangling skills (NULLs, duplicates, outliers, regex cleaning, etc.)
- Example of building models and data pipelines.
- Experience with NLP tasks - NER, POS tagging, Classification, Topic Modeling, Summarization, Question-Answering, etc.
- Experience with large language models - GPT3, Word2Vec, GloVe, BERT, etc.
- Experience with deep learning frameworks - Tensorflow, Pytorch, Keras, HuggingFace, etc.
- Experience with version/source control using Git.
Nice to have:
- Experience with cloud platform, particularly Azure
- Experience deploying machine learning models through REST API
- Understanding of Agile methodologies
- Competitive salary adequate to your skills and performance
- Flexible working hours
- Training programs
- Private medical insurance
- Multisport program
- English lessons
- Company social events
- Weekly cakes and fruits
- Relocation assistance