Machine Learning Engineer

Summary:

The Data Scientist role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, which provide a competitive advantage and efficiency. You will work closely with cross-functional teams to build intelligent systems that solve real-world problems using machine learning, deep learning, and data science techniques.

What You'll Do:

· 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.

You Should Have:

· 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

· Bachelor's degree in Math, Physics, Statistics, Computer Science, or with equivalent professional experience.

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

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

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

· PhD or M.S. in related fields.

· 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.

Compensation:

$110,000 - 125, 000.00 annually

Pay is determined by several compensable factors, such as qualifications, skill level, competencies, and work location.