Machine Learning Engineer II
Role details
Job location
Tech stack
Job description
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., * Design, deploy, fine-tune, and evaluate large language models (LLMs); develop effective prompting strategies to optimize performance for various business use cases.
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Improve data quality by cleaning the company's data and sourcing information from new data sources.
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Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools.
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Translate business problems into scalable AI/ML solutions, particularly using LLMs, in areas
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such as copilot systems, intelligent voice assistants, and work order processing optimization.
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Collaborate cross-functionally with teams to develop, refine, and scale data-driven procedures and workflows.
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Foster a positive team environment.
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Ensure confidentiality and integrity of internal and external data.
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Perform ad-hoc projects and other duties as assigned.
Requirements
Do you have experience in Machine learning libraries?, Do you have a Master's degree?, * PhD or Master's degree in Math, Physics, Statistics, Computer Science, or other related fields
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1-3 years of experience as a data scientist, working closely within a business
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Strong mathematical and statistical skills
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Programming Languages: SQL, Python
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Understanding of ETL tools and database architecture
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Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP
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Prompt engineering experience
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Experience using a machine learning framework e.g. scikit-learn, pytorch or similar
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Experience with a statistical software (e.g. R, SAS)
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Experience with natural language processing
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Advanced knowledge of Data Warehousing and BI best practices
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Experience with big data tools such as Spark, Hadoop, etc.
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Experience with Tableau or Superset
These are the professional skills we would expect from an individual fully established in this role.
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Verbal Communication - Proficient
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Written Communication - Proficient
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Teamwork - Advanced
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Relationships - Advanced
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Organizational Awareness - Advanced
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Learning Agility - Advanced
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Analysis - Advanced
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Problem Solving - Advanced
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Process Orientation - Advanced
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Prioritization - Advanced
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Customer Service - Proficient
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Process Orientation - Advanced
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Negotiation - Advanced
Benefits & conditions
Pulled from the full job description
- 401(k)
- Vision insurance
- Dental insurance
- Paid holidays
- Opportunities for advancement, * 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