General information

Country
United States
State
Georgia
City
Alpharetta
Job ID
42302
Department
Development
Experience Level
MID_SENIOR_LEVEL
Employment Status
FULL_TIME
Workplace Type
Hybrid

Description & Requirements

Infor Decision Analytics and Science (IDEAS) team is responsible for setting the innovation strategy at Infor.  The Solution Architects in IDEAS provide high-quality solutions in ML for Infor’s customers. This role requires and expands your technical expertise in a wide variety of technologies to develop and own our ML vision. As a scientist, you will contribute to the development of highly automated, robust, reusable, explainable, and self-serviced AI/ML solutions that are rapidly deployed and managed at scale. The Solution Architect will rely on a combination of analytics and technical expertise to turn the data vision into reality.  

A Day in The Life Typically Includes:
 
  • Designing, developing, testing, deploying, monitoring, and improving machine learning models for enterprise applications. 
  • Working with product managers and Infor customers to understand business problems, identifying internal and external data requirements, and formulating data enrichment strategies for enterprise applications. 
  • Crafting, conducting, analyzing, and interpreting experiments and investigations. 
  • New data parsing, data modeling and analysis, anomaly detection, dataset cleansing, trend, and general characteristics extraction.   
  • Feature engineering, eliminating redundant variables, and dimensionality reduction.   
  • Explaining to the customer in a clear manner the goals and value of the analysis to be performed, refining the approach with the customer to best suit their needs.  
  • Developing Machine Learning (ML) models that can be reused across multiple clients/projects which have a specific purpose. 

Basic Qualifications:

  • Programming skills in Python, R, or Scala and data-querying skills in SQL and/or PySpark, etc. 
  • Deep learning algorithms with frameworks such as TensorFlow, PyTorch, or Keras. 
  • Experience presenting and collaborating with scientists, engineers and business partners. 
 
Preferred Qualifications: 

  • Experience in developing real-world ML models for time series, clustering, classification, regression, etc. using statistical techniques. 
  • Experience with statistical techniques.  
  • Experience developing novel approaches that made a real difference to the solution.


About Infor

Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. 
For more information visit www.infor.com 

Our Values

At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future.

We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.

Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

At Infor we value your privacy that’s why we created a policy that you can read here.

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