Artificial Intelligence (AI) Consultant

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Artificial Intelligence (AI) Consultant based in the United States.

In this remote contract role, you will design, develop, deploy, and optimize artificial intelligence and machine learning solutions to address complex business challenges. You will work with advanced technologies, including natural language processing, computer vision, and cloud-based data services, to transform data into practical, impactful solutions. Collaborating with technical teams and business stakeholders, you will identify opportunities for AI adoption, develop intelligent applications, and improve existing models and workflows. Your expertise in Python, machine learning frameworks, and Microsoft Azure will help deliver scalable, reliable, and efficient AI solutions. You will also troubleshoot technical issues, analyze complex datasets, and ensure that solutions meet performance and business requirements. This opportunity offers the flexibility of remote work, with occasional travel to project facilities in Middletown, Pennsylvania, for meetings, orientation, and implementation support.

Accountabilities:

• Design and develop AI solutions: Build, configure, and implement artificial intelligence and machine learning models that address business needs and support operational objectives.
• Develop and optimize machine learning models: Apply appropriate algorithms, frameworks, and techniques to improve model accuracy, reliability, scalability, and performance.
• Implement natural language processing and computer vision: Develop AI applications that process and interpret text, images, and other relevant data types.
• Build data workflows and pipelines: Work with Microsoft Azure data services, including Azure Synapse Analytics, to manage data processing, integration, transformation, and analytical workflows.
• Analyze complex datasets: Identify patterns, extract meaningful insights, and prepare data to support model development, evaluation, and business decision-making.
• Maintain and enhance AI applications: Monitor existing solutions, troubleshoot technical issues, identify performance bottlenecks, and implement improvements to maintain reliability and efficiency.
• Collaborate with cross-functional teams: Partner with data professionals, software engineers, project stakeholders, and business teams to translate requirements into effective AI-driven solutions.
• Support deployment and implementation: Assist with integrating AI models into existing systems, validating functionality, resolving deployment issues, and ensuring solutions perform as expected in operational environments.
• Document technical processes: Maintain clear documentation covering model development, data pipelines, system configurations, implementation procedures, testing, and ongoing maintenance.
• Communicate findings and recommendations: Present technical results, project updates, and proposed improvements to technical and non-technical stakeholders.
• Participate in project meetings and onsite activities: Attend virtual meetings and, when required, travel to designated facilities in Middletown, Pennsylvania, for stakeholder discussions, implementation activities, troubleshooting, or other project needs.
• Comply with remote work and equipment requirements: Maintain a suitable remote workspace, follow applicable security and equipment policies, use cameras during virtual meetings, and return all issued equipment in accordance with project requirements.

Requirements:

• Education: Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical discipline.
• Relevant professional experience: Demonstrated professional experience in artificial intelligence, machine learning, data science, or a closely related field.
• AI/ML development expertise: Hands-on experience designing, developing, deploying, maintaining, and optimizing AI and machine learning models.
• Programming proficiency: Strong programming skills in Python, R, Java, or another relevant language, with the ability to develop and maintain production-oriented solutions.
• Machine learning frameworks: Practical experience with one or more established frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn.
• **Natural language processing and…