Summary:
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.
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.
