Ai and Machine Learning Support Engineer

hace 4 semanas


San José, Costa Rica Manpowergroup CCA A tiempo completo

AI and Machine Learning Technical Support Engineer

**Role & Responsibilities**:
Work with a broad range of customers from small development shops and independent software vendors (ISVs) to Fortune 500 companies.
Provide accurate information, and help resolve the most technically challenging, critical and highest impact problems for developers regarding their Microsoft software.
Analyze difficult programming problems and develop highly specific solutions to meet developer needs.
Participate in case review meetings to share knowledge with other engineers and develop efficient customer solutions.
Identify and report both software bugs and customer suggestions.
Act as a liaison to internal development organizations, representing the voice of the customer and advocating for product improvements to alleviate customer pain.
Help teams across developer organizations monitor new incoming cases and meet SLA for critical cases and ensure transitions to appropriate teams

**Eligibility Requirements**:
3+ years technical support, technical consulting experience, or information technology experience OR Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 1+ years technical support, technical consulting experience, or information technology experience.
Thorough troubleshooting, debugging, and problem-solving skills.
Strong C, C++ coding skills, along with Python, C# and Java.
Azure, AWS cloud development experience.
Ability to work well in a highly collaborative team.

**Skill Profiles Needed Required Skills**:
Thorough troubleshooting, debugging, and problem-solving skills.
Excellent C/C++ coding skills.
Excellent communication skills with both written and spoken English.
Ability to work well in a highly collaborative team environment.
Effective learning skills.
Customer service skills.

**Experience in one or more of these areas desirable**:
Artificial Intelligence.
Machine Learning.
IoT, Troubleshooting hardware devices.

**“Nice to have” skills**:
C#, Python and/or Java coding skills.
Azure/AWS cloud development expertise.
Experience in dealing with and driving complex system debugs and root cause analysis for technical issues.
Experience with Linux and Linux development.
Experience with Windows and Windows development.
Scripting development (VB Script, JavaScript, Node.js).
Experience working with REST APIs.
Experience in writing low level drivers.
Experience with microprocessor architectures/debugging.
Analyzing Network & Fiddler traces.
Experience using Git.
Knowledge of TLS protocols.



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