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Machine Learning Engineer

Machine Learning Engineer

LessenChicago, Illinois, United States
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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.

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    Machine Learning Engineer • Chicago, Illinois, United States