Artificial Intelligence (AI) Consultant

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 computer vision: Experience developing or implementing solutions involving text analysis, language processing, image recognition, or related AI applications.
Microsoft Azure knowledge: Familiarity with Azure cloud services and their application to AI, machine learning, data processing, and analytics workloads.
Data engineering capabilities: Experience with Azure Synapse Analytics, data pipelines, and data workflows, including the ability to manage and process complex datasets.
Analytical and problem-solving skills: Strong ability to investigate technical challenges, analyze data, identify root causes, and develop effective solutions independently.
Troubleshooting and continuous improvement: Ability to diagnose issues in existing applications, optimize model performance, and implement appropriate technical improvements.
Communication skills: Excellent written and verbal communication, with the ability to explain technical concepts, document solutions, and present findings clearly.
Collaboration and stakeholder management: Ability to work effectively with multidisciplinary technical teams and business stakeholders to understand requirements and deliver practical outcomes.
Documentation and organization: Strong organizational skills, attention to detail, and experience maintaining technical documentation and coordinating project activities.
Work authorization: The position is open to various visa statuses, except Optional Practical Training (OPT). Candidates should confirm their eligibility with the hiring partner.
Location and travel: Must be able to work remotely from within the continental United States and travel to Middletown, Pennsylvania, when required. Candidates must also be able to reach the designated work location within three hours in an emergency.
Onsite orientation: Must attend a full-day onsite orientation to collect assigned equipment. Travel expenses for the initial equipment pickup and orientation are not reimbursed.
Remote work readiness: Must have an appropriate workspace, maintain a professional appearance during virtual meetings, and use a camera during meetings.
Equipment responsibility: Must safeguard all issued equipment and return it in good working condition within two weeks of completing the engagement. Vendors may be responsible for unreturned equipment or damage beyond reasonable wear and tear.
Travel expense compliance: Approved, reimbursable travel expenses must follow applicable federal GSA guidelines, include supporting documentation and receipts, and be submitted within 60 days of travel. Consultants within a three-hour commuting distance must cover required travel costs within the agreed bill rate, with no additional travel compensation.
Benefits:
Remote work flexibility: Work remotely from within the continental United States, with onsite attendance required only when project needs dictate.
Contract engagement: Gain experience through a project-based consulting opportunity focused on applied artificial intelligence and machine learning.
Advanced technology exposure: Work with AI/ML models, natural language processing, computer vision, Python, and Microsoft Azure data services.
Real-world project impact: Apply AI technologies to practical business challenges, data workflows, and operational improvement initiatives.
Cross-functional collaboration: Work with technical specialists and business stakeholders to develop and implement effective solutions.
Professional development: Expand your experience in AI engineering, cloud-based analytics, machine learning deployment, and data pipeline optimization.
Equipment provision: Required project equipment and applicable administrative access will be provided, potentially including a laptop, tablet, monitors, keyboard, mouse, laptop bag, and other accessories.
Potential travel reimbursement: Eligible travel expenses may be reimbursed when approved and compliant with applicable project policies and federal GSA guidelines.
Flexible geographic eligibility: Candidates across the continental United States may be considered, provided they can meet the project's onsite and emergency-response requirements.