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AI Engineer
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Based on Florida data
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$110,581 / year median in Florida
Job Description
AI Engineer Infosys - 3.8 Temple Terrace, FL Job Details 14 hours ago Qualifications Software issue identification Software engineering Requirements specification Bug Tracking (Quality assurance practices) Engineering phase involvement Engineering development testing Requirements design Conducting user feedback sessions IT system monitoring Software implementation Bug Reporting (Quality assurance practices) Mid-level Technical solutions implementation Implementation (software development lifecycle) Software documentation Technical writing Agile Application Maintenance Systems & applications support Analysis (software development lifecycle) Test analysis Functional quality evaluation testing User interviews Communication skills Design (software development lifecycle) Production troubleshooting System performance monitoring Full Job Description In the assigned Job Role of Technology Consultant 1, your Area Of Responsibility will be as below: Assist in conducting targeted interviews and workshops to capture user needs, and ensure accurate documentation of stakeholder requirements Participate in design discussions to capture software specifications, and aid in creation of process documentation. Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements Execute test plans, analyse outcomes, and report defects to the development team, to facilitate enhancement of software performance Support the integration of new software features, facilitating smooth transitions within the existing system infrastructure Monitor and troubleshoot live applications, ensuring prompt resolution of issues and creation of comprehensive documentation for ongoing system maintenance Systematically document coding practices, testing methodologies, and technical solutions, thereby enriching team's knowledge repository Your contribution to the team: An agile mindset with effective communication and problem-solving skills. The ability to work on majority of the areas as part of SDLC lifecycle Passion for innovating solutions that drive progress and meet future challenges. A proactive approach to monitoring and resolving production issues before they escalate. Commitment to continuous learning, knowledge sharing, and fostering team development