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. 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.
This is a hybrid position, Tuesday and Thursday in the office.
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: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
These are the professional skills we would expect from an individual fully established in this role.
- Verbal Communication - Proficient
- Written Communication - Proficient
- Organizational Awareness - Advanced
- Learning Agility - Advanced
- Problem Solving - Advanced
- Process Orientation - Advanced
- Prioritization - Advanced
- Customer Service - Proficient
- Process Orientation - Advanced
$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
