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Career Opportunities

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Sr. Machine Learning Engineer

:
2020-2184
:
1
:
US-IA-Cedar Rapids US-NJ-Pennington US-TX-Houston
:
5/5/2020
:
Enterprise Analytics
:
None
No
 
 

Overview:

UFG offers you an award-winning workplace and a trustworthy, financially stable company. While we’ve always known our commitment to employees and financial stewardship, it is good to have others recognize our dedicated efforts. We've been named an Iowa Top Workplace by the Des Moines Register for four consecutive years, and included on Forbes’ “America’s Most Trustworthy Financial Companies” every year since 2014. Additionally, UFG is a super-regional property and casualty insurer rated “A” (Excellent) by A.M. Best Company.

 

We are seeking a Senior Machine Learning Engineer who is capable of solving hard data science problems and building the Analytics as a Service ecosystem necessary to deliver those solutions to our customers.  We are seeking candidates who enjoy having autonomy in their work, take pride in seeing their work directly impact the lives of others, and are as ambitious as we are in capturing significant market opportunities.  The ideal candidate will possess strong technical and communication skills, as well as proven experience in developing and deploying machine learning in a real-time operational environment.

Responsibilities:
  • Collaborate with our data scientists to design, train, and deploy machine learning model
  • Integrate modelling solutions into our overall technical platform
  • Architect, develop, and automate data pipelines and systems that reliably support production ML models and model-driven services
  • Build & maintain a production-ready experimentation platform to run models in parallel
  • Work with our engineers to deploy scalable infrastructure that support product features, DS/ML R&D projects, and big data analytics services
  • Prepare and preprocess data in collaboration with the data engineering team
  • Fine tune performance to optimize user response times and model execution
  • Strong knowledge of converting the trained model into REST or SOAP APIs to expose as web services
  • Socialize and mentor other engineers in best practices
  • Research opportunities for data acquisition and new uses for existing data
  • Collaborate with data scientists, architects, data analysts and engineers to support technical and product roadmap planning

Qualifications:

Education:

  • Competencies typically acquired through a Masters or Ph.D. (in Statistics, Computer Science, Mathematics, or other STEM field of study)

Experience:

  • Proven track record of successfully architecting and building highly available, low latency systems for high traffic applications
  • Experience developing and delivering ML-based services and product features into commercial software applications

Knowledge, skills & abilities:

  • Intuition on how to architect scalable distributed computing systems for machine learning
  • Familiarity with machine learning and parallel processing pipelines, experience with implementation in low-latency real-time platforms and/or scalable offline batch processes
  • Highly proficient in Python and experience using common DS/ML frameworks such as scipy, scikit-learn, TensorFlow/Keras, etc.
  • Solid foundation of computer science, software engineering, and system architecture design principles
  • Understanding of data structures, data modeling and software architecture
  • Knowledge of Hadoop or other distributing computing systems
  • Ability to write robust code in SQL, Python, and Java
  • Comfortable configuring, deploying, and managing cloud resources (GCP, AWS, etc) for your projects
  • Job scheduling technologies and containerization for isolated development shouldn’t be foreign concepts to you
  • Ability to thrive in a fast-paced environment with significant uncertainty
  • Pragmatic approach to problem-solving
  • Desire to always be learning, and a collaborative team-player attitude


UFG Career Opportunities

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Equal Opportunity Employer

UFG is an equal opportunity employer. All qualified applicants will receive consideration and will not be discriminated against on the basis of race, gender, sexual orientation, gender identity, disability, protected veteran or any other protected status. If you need a reasonable accommodation for any part of the employment process, please email humanresource@unitedfiregroup.com to provide the nature of your request. Only inquires for an accommodation will be responded to. For more information on rights protecting job applicants, click here: Equal Employment Opportunity (EEO), Employee Polygraph Protection Act (EPPA), Family and Medical Leave Act (FMLA).

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