基本信息

国家
チュニジア
城市
チュニス
职位编号
42323
部门
Development
Experience Level
ASSOCIATE
Employment Status
FULL_TIME
Workplace Type
Hybrid

描述和要求

The Infor Decision Analytics and Science (IDEAS) team is responsible for setting the AI/ML strategy at Infor. Our industry-specific Augmented Intelligence (AI) solutions suite in Asset, Forecast, Inventory, Customer, Pricing, People, and Operational Intelligence domains provides rapid and measurable value to enterprise customers. In pursuit of advancing our AI solutions, IDEAS is seeking a Full Stack Developer who will have deep expertise in both front-end and back-end technologies and be responsible for designing, developing, and maintaining robust applications which will act as integration between AIS solutions and ERPs.

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. 
  • Writing clean, efficient, and maintainable Python and JavaScript code
  • Participating in code reviews and collaborating with other team members.
  • Staying up to date with the latest design trends, tools, and technologies.
  • Providing input into technical designs and solutions.
  • Troubleshooting and resolving defects in existing solutions.
  • Staying up to date with the latest developments in the Infor Platform Technology that includes API Gateway, Mongoose, Analytics and Reporting, User Experience, and an Integration Platform.

What will You Need: 
  • Strong programming skills in Python, R, or Scala and data-querying skills in SQL and/or PySpark, etc. 
  • Knowledge of deep learning algorithms with frameworks such as TensorFlow, PyTorch, or Keras. 
  • Relevant experience in front-end frameworks (NodeJS preferred).
  • Knowledge of HTML, CSS3 and JavaScript or Typescript.
  • Effective verbal and written communication. 
  • Good English Knowledge 
  • Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team. 

What will put You Ahead: 
  • Experience in developing real-world ML models for time series, clustering, classification, regression, etc. using statistical techniques. 
  • Bachelor's degree (or foreign equivalent) in Computer Science, Computer Applications, Information Technology, or a related quantitative discipline from an accredited university.
  • Experience in Troubleshooting and debugging applications.
  • A proven desire to continue learning new technologies and techniques.

关于Infor

Infor是面向特定行业市场的企业提供商业云软件产品的全球领导者。Infor在云中构建完整的行业套件，并有效地部署将用户体验放在首位的技术，利用数据科学，并轻松集成到现有系统中。全球超过60,000家组织依靠Infor来帮助克服市场中断并实现全业务范围的数字化转型。 
更多信息请访问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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