Machine Learning Engineer II

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:

·         Phd or Masters degree in Math, Physics, Statistics, Computer Science, or other related fields

·         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)

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

·         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 - 135,000.00 annually

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