Application Services Engineer 2

Title: Application Services Engineer
Location: NC - Charlotte
Duration: 3 months
 
Description:
 
* Key requirements:
• 5+ Years of extensive Machine Learning experience. Traditional methods, Neural Networks, and Deep Learning.
• 5+ Years of Computer Vision experience.
• 3+ Years of AWS Development (e.g. S3, EC2, Lambda, Kinesis, Lex, Polly)
* Supports customers in using (software) applications and solutions to the optimum extend. * Provides comprehensive training for using applications and solution focused on specific customer demand. * Configures software applications to meet customer needs. * Acts as an interface between customer and provider of application to solve customer problems and enhance the application with new features. "Expands"Needs to consider processes and results, generated in other workflows and disciplines, implies conditions and environments, and values significance to contribute effectively to team results. Needs experienced level of analytical and distinctive conceptual skills to solve issues given, which may differ in size and nature. "Experienced Professional"These positions are expected to contribute to and deliver business processes or detailed technology solutions, in a self-managed and target oriented manner, and thus contributes to team results. Positions focusing on analyzing, developing, testing or implementing processes, technologies and systems in their specific field of expertise, from first principles. Targets are short to medium term (best to be characterized as milestones), and achievements are monitored. They may provide functional advice to and integrate services of operational staff or semi-professional colleagues. Typically these functions review to 2 to 5 years of relevant experience in their field of work and qualification. 3-5 years Thorough professional know-how in one Sub Job Family, based on practical experience and theoretical foundation. Focus on applying and expanding acquired knowledge base. Application of knowledge in broader professional context.

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