Artificial Intelligence (AI) Engineer
<p>We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team near Raleigh, North Carolina. In this role, you will play a pivotal part in transitioning our organization from descriptive analytics to predictive analytics, enabling data-driven decision-making and storytelling through advanced insights. This is an excellent opportunity to build innovative solutions from the ground up within a collaborative and supportive environment.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with business teams to understand their needs and identify opportunities for predictive analytics applications.</p><p>• Design and implement machine learning models and algorithms to deliver actionable insights.</p><p>• Develop and maintain analytical solutions using tools like Python, R, and TensorFlow.</p><p>• Utilize cloud platforms such as Microsoft Azure to deploy and manage machine learning workflows.</p><p>• Create compelling data visualizations using BI tools like Power BI to communicate findings effectively.</p><p>• Lead efforts to identify and prioritize predictive analytics projects aligned with organizational goals.</p><p>• Provide technical expertise and guidance to team members, ensuring the success of analytics initiatives.</p><p>• Drive the adoption of advanced analytics practices across the organization.</p><p>• Ensure data integrity and optimize data pipelines to support machine learning processes.</p><p>• Stay current with emerging trends and technologies in artificial intelligence and predictive analytics.</p>
• At least 7 years of experience in data science, machine learning, or AI engineering.<br>• Proven expertise in predictive analytics and the ability to translate data into impactful stories.<br>• Proficiency in programming languages such as Python and R, along with frameworks like TensorFlow.<br>• Hands-on experience with cloud platforms, particularly Microsoft Azure.<br>• Strong communication skills to effectively collaborate with business teams and stakeholders.<br>• Familiarity with BI tools such as Power BI or Tableau for data visualization.<br>• Ability to identify predictive analytics opportunities and implement solutions.<br>• Bachelor's degree in a relevant field is preferred but not mandatory.
<h3 class="rh-display-3--rich-text">Technology Doesn't Change the World, People Do.<sup>®</sup></h3>
<p>Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.</p>
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<p>All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information.</p>
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- Garner, NC
- onsite
- Permanent
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150000.00 - 170000.00 USD / Yearly
- <p>We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team near Raleigh, North Carolina. In this role, you will play a pivotal part in transitioning our organization from descriptive analytics to predictive analytics, enabling data-driven decision-making and storytelling through advanced insights. This is an excellent opportunity to build innovative solutions from the ground up within a collaborative and supportive environment.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with business teams to understand their needs and identify opportunities for predictive analytics applications.</p><p>• Design and implement machine learning models and algorithms to deliver actionable insights.</p><p>• Develop and maintain analytical solutions using tools like Python, R, and TensorFlow.</p><p>• Utilize cloud platforms such as Microsoft Azure to deploy and manage machine learning workflows.</p><p>• Create compelling data visualizations using BI tools like Power BI to communicate findings effectively.</p><p>• Lead efforts to identify and prioritize predictive analytics projects aligned with organizational goals.</p><p>• Provide technical expertise and guidance to team members, ensuring the success of analytics initiatives.</p><p>• Drive the adoption of advanced analytics practices across the organization.</p><p>• Ensure data integrity and optimize data pipelines to support machine learning processes.</p><p>• Stay current with emerging trends and technologies in artificial intelligence and predictive analytics.</p>
- 2025-12-02T13:13:35Z