Machine Learning Engineer II

Design, deploy, fine-tune, and evaluate large language models (LLMs); develop effective prompting strategies to optimize performance for various business use cases. 

Improve data quality by cleaning the company’s data and sourcing information from new data sources. 

Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools. 

Translate business problems into scalable AI/ML solutions, particularly using LLMs, in areas 

such as copilot systems, intelligent voice assistants, and work order processing optimization. 

Collaborate cross-functionally with teams to develop, refine, and scale data-driven procedures and workflows. 

Foster a positive team environment. 

Ensure confidentiality and integrity of internal and external data. 

Perform ad-hoc projects and other duties as assigned. 

PhD or Master’s degree in Math, Physics, Statistics, Computer Science, or other related fields 

1-3 years of experience as a data scientist, working closely within a business 

Strong mathematical and statistical skills 

Programming Languages: SQL, Python 

Understanding of ETL tools and database architecture 

Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP 

Prompt engineering experience 

Experience using a machine learning framework e.g. scikit-learn, pytorch or similar 

Experience with a statistical software (e.g. R, SAS) 

Experience with natural language processing 

Advanced knowledge of Data Warehousing and BI best practices 

Experience with big data tools such as Spark, Hadoop, etc. 

Experience with Tableau or Superset