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Machine Learning Engineer

OGDEN, UT | Full Time
3 Days Ago

Job Description

Overview

This position is responsible for aiding operational areas of the organization leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making.

Responsibilities

A. Be the go-to-person for data pipelines to support operational implementation of Data Science and analytical models. B. Engineer each solution with serverless technology when possible, with optimized performance. C. Execute analytics solution engineering strategy, requirements, and adapt processes as needed. D. Perform DevOps and orchestration around supporting data marts and analytical processes.E. Monitor and secure usage of data while tracking analytic product performance.F. Advise and collaborate in internal partnerships to deliver accurate, available, and accessible API services.

G. Ensure all security, documentation, governance, and compliance standards are met.H. Manage small reporting layer on top of analytical models to ensure accountability and insight into models’ performance and impact.I. Identifies potential concerns based on projections of current trends.

Qualifications

QUALIFICATIONS:

• Experience developing business analytical solutions in large or midsize companies.• Must be able to manage multiple tasks simultaneously and react to problems quickly.• Contribute to Credit Union culture by keeping a positive attitude and growing relationships• Understanding of the financial services industry desired.• Experience with dashboard design and delivery desired• Must be able to translate concepts and directions into practical solutions.• Must have development experience with various data management technology; NoSQL; relational database; message broker; multi-dimensional database; and design architecture.• Understand data collection, streaming, preparation, analysis, visualization, modeling, algorithm integration, evaluation, optimization within an implementation context.• Must have advanced SQL abilities, experience with both Oracle and Microsoft desired.• Must have advanced programming experience with Python• Must have experience with Linux. • Experience with Anaconda; RabitMQ; Jupyter Notebook; Tableau desired.

 

EXPERIENCE:

• 3 years of experience in designing, developing and implementing Data Science solutions.

 

EDUCATION:

• Bachelor of Science degree in information technology, computer science, statistics, or related business degree with equivalent experience of 3 years.• Master of Science in information technology, computer science, statistics, or related degree.

Company Overview

  • Website americafirst.com
  • Headquarters OGDEN, UT
  • Size 1,000 - 3,000
  • Founded 1939
  • Type
  • CEO LINDA CARVER
  • Revenue $200M - $500M
  • Industry Financial Services
  • About america first credit union
  • America First Credit Union was founded at Fort Douglas in Salt Lake City on March 16, 1939 by a small group of people determined to form their own cooperative to promote their collective economic well-being. In a 78-year history, America First has become one of the largest, most stable and most progressive credit unions in the country, and has remained a member-owned, not-for-profit cooperative financial institution. Today, America First has 122 locations, and is the 11th largest credit union in assets in the United States with over $8.2 billion, and the 7th largest credit union in membership ... in America with more than 824,000 members. More

Skills for Machine Learning Engineer

The job skills required for Machine Learning Engineer include Algorithms, Computer science, Data Science, Analysis, Insight,and Programming etc. Having related job skills and expertise will give you an advantage when applying to be a Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.

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Career Path for Machine Learning Engineer

The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.