Machine Learning Engineer

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.