Title: Infrastructure Engineer

Location:

Charlotte, NC

Duration: 9 months

Work Engagement: W2

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups. Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking. Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions. Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions. Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization. Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership.

Qualifications:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Experience troubleshooting environments across the entire architecture (i.e. applications to infrastructure)
• Linux experience
• Experience with Artificial Intelligence, Business Intelligence or Machine Learning

Desired Qualifications:

• Knowledge and understanding of Machine Learning, Deep Learning, Linear Regression, Models (Tensor Flow), Business Intelligence and Analytics
• Experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, and Virtual Assistant
• Experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and MapR
• Ability to lead projects/initiatives with high risk and complexity