Jobs · Engineering · Illinois

Machine Learning Engineer II

Lessen · Chicago, IL · Yesterday
HybridEngineering$108k–$136k/yrFull-time

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

Minimum Qualifications

  • 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

Professional Skills

  • Verbal Communication – Proficient
  • Written Communication – Proficient
  • Teamwork – Advanced
  • Relationships – Advanced
  • Organizational Awareness – Advanced
  • Learning Agility – Advanced
  • Analysis – Advanced
  • Problem Solving – Advanced
  • Process Orientation – Advanced
  • Customer Service – Proficient
  • Process Orientation – Advanced
  • Negotiation - Advanced

Pay

$108,000 - $136,000 a year

Why Lessen

  • Competitive compensation
  • Health, Dental, Vision, Life, Disability options
  • 401K retirement savings plan
  • Paid vacation, federal and floating holidays
  • Maternity/Paternity Pay
  • Career advancement opportunities
  • All the tools you'll need to be successful

About the Role

The Machine Learning Engineer II 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.

Requirements

This is a hybrid position, Tuesday and Thursday in the office.

Qualifications

Lessen is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. We’re looking for teammates that are enthusiastic, empathetic, curious, motivated, reliable, and will help us amplify the positive & inclusive culture we’ve been building.

Skills

  • Advanced knowledge of Data Warehousing and BI best practices
  • Experience with big data tools such as Spark, Hadoop, etc.
  • Experience with Tableau or Superset
  • Experience with natural language processing
  • Experience with a statistical software (e.g. R, SAS)
  • Experience with machine learning frameworks (e.g. scikit-learn, pytorch)
  • Experience with ETL tools and database architecture
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Experience with prompt engineering
  • Experience with data cleaning and sourcing
  • Experience with large language models (LLMs)
  • Experience with AI/ML solutions in areas such as copilot systems, intelligent voice assistants, and work order processing optimization
  • Experience with data-driven procedures and workflows
  • Experience with collaborative cross-functional teams
  • Experience with fostering a positive team environment
  • Experience with ensuring confidentiality and integrity of data
  • Experience with ad-hoc project management

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