Senior Machine Learning Engineer

Remote
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AI Summary

Develop machine learning models, data pipelines, and backend APIs for credit risk and fraud prevention. Collaborate with stakeholders and work on internal process improvements. Expertise in Python, SQL, and cloud technologies required.

Key Highlights
Build machine learning models and data pipelines
Collaborate with stakeholders
Work on internal process improvements
Key Responsibilities
Continuous development of our decision engine backend
Build data pipelines and python-based ETL tools
Create and train new ML models and algorithms
Perform data analysis on financial portfolio data
Develop data models and schemas in our database
Identify, design and implement internal process improvements
Research new opportunities for using Large Language Models on our internal data
Technical Skills Required
Python SQL Cloud technologies NLP Text-mining LLMs
Benefits & Perks
Medical, Prescription, Dental & Vision Benefits
Health Savings Account
Life & Disability Insurance
MetLife Voluntary Benefits
Employee Assistance Program
401K Retirement Savings Plan
Direct Deposit & weekly epayroll
Referral Bonus Programs
Certification and training opportunities
Nice to Have
Experience working with NLP, text-mining, LLMs

Job Description


Machine Learning Software Engineer (Python/SQL/API)
Direct Hire
100% Remote

Job Description:
The Machine Learning Engineer will be responsible for building machine learning models, data pipelines and python-based backend APIs for our credit risk and fraud prevention decision engine. The ideal candidate has a high level of intellectual curiosity with a desire to understand the business.

Responsibilities:
  • Continuous development of our decision engine backend including implementation of new models and business rules
  • Build data pipelines and python-based ETL tools for getting, processing, and delivering data
  • Create and train new ML models and algorithms for credit risk underwriting and fraud prevention
  • Perform data analysis on financial portfolio data regarding efficacy of business rules and models
  • Develop data models and schemas in our database that enable performant, intuitive analysis and production grade performance
  • Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability
  • Research new opportunities for using Large Language Models on our internal data
  • Work with stakeholders including Tech, Product, Operations, Marketing and executive teams and assist them with data-related technical issues
  • Become an expert on all aspects of our credit risk and underwriting infrastructure
 
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering or related technical degree
  • 2+ years of work experience in software/data engineering
  • 2+ years of work experience building production ready Machine Learning algorithms/models
  • 3+ years of work experience overall
  • Experience with Cloud technologies required (AWS Preferred)
  • Experience working with NLP, text-mining, LLMs preferred
  • Experience with the entire data science pipeline. (EDA, Modelling, Implementation, etc.)
  • Python and SQL proficiency
  • The ability to communicate complex issues or ideas to broader audiences
  • A highly motivated self-starter with the ability to work efficiently with minimal supervision

Estimated Min Rate: $105,000.00
Estimated Max Rate: $150,000.00


What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

  • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
  • Health Savings Account (HSA) (for employees working 20+ hours per week)
  • Life & Disability Insurance (for employees working 20+ hours per week)
  • MetLife Voluntary Benefits
  • Employee Assistance Program (EAP)
  • 401K Retirement Savings Plan
  • Direct Deposit & weekly epayroll
  • Referral Bonus Programs
  • Certification and training opportunities
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice

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