Machine Learning Engineer
Skills
Computer ScienceCalibrationCustomer ExperienceData AnalyticsData WarehousingModelingSnowflake Cloud
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Master's degree in a quantitative or applied field such as Engineering Computer Science Data Science Operations Research Mathematics Statistics or Econometrics
- Experience analyzing large data sets with exploratory analysis model fitting and visualization
- Proficient SQL skills and experience working with large data sets including big data or IoT data
- Proficient in Python programming and modeling
- Knowledge of pre-training and fine-tuning foundation LLM models
- Knowledge of LangChain and sentence transformer frameworks
- Knowledge of ChatGPT4 or comparable models
- Experience applying current machine learning techniques
- Knowledge of evolving data science concepts and best practices
Day to day
- Build supervised and unsupervised AI and ML models under the guidance of the Director of Enterprise Architecture.
- Research and implement machine learning solutions on Snowflake Cloud using Snowpark and advanced statistical techniques.
- Develop and operationalize production-grade models using Python LLMs Generative AI and RAG frameworks to improve business outcomes and customer experience.
- Collaborate with data scientists data engineers and architects while communicating findings through clear documentation visualization and reporting.