Build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models to improve Confie's business outcome/customer experience
Requirements
- Expertise in manipulating and analyzing large data (e.g., exploratory analysis, model fitting, and visualization)
- Proficient SQL skills and experience working with large data sets (big data, IoT Data)
- Proficient with programming and modelling using Python
- Knowledge of modelling in pre-training & fine-tuning foundation LLM models
- Knowledge of LangChain and sentence transformer frameworks
- Knowledge of ChatGPT4 (or comparable models)
- Experience applying current machine learning techniques
Responsibilities
- Research, analyze, support, and implement machine learning solutions on Snowflake Cloud data warehouse platform using snowpark framework
- Develop novel solutions using your knowledge of the latest AI/ML/NLP techniques and rigorous statistical analysis
- Utilize LLMs and Generative AI to provide software automation capability integrations
- Build and operationalize retrieval-augmented generation (RAG) frameworks
- Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
- Perform data cleansing, analysis, and feature engineering using Python
- Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
Other
- Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
- Applicants must be authorized to work for ANY employer in the U.S.
- We are unable to sponsor or take over sponsorship of an employment Visa at this time
- On-call support
- Communicate technical results in a clear, concise, and effective manner with an emphasis on data visualization techniques
