AI/ML Engineer

AI/ML Engineer

Location: Harrisburg / Middletown, PA (Local Candidates Strongly Preferred)

Work Arrangement: Remote with Occasional Onsite Requirements

Employment Type: Contract

Industry: Public Sector | Artificial Intelligence | Machine Learning

About the Opportunity

Willan Technologies is seeking a highly skilled AI/ML Engineer to support an innovative public-sector technology initiative in Pennsylvania.

The ideal candidate will have hands-on experience designing, developing, deploying, and optimizing artificial intelligence and machine learning solutions. This role requires strong expertise in Python, Natural Language Processing (NLP), Computer Vision, TensorFlow, PyTorch, Microsoft Azure, and Azure Synapse Analytics.

This is an excellent opportunity for an AI professional who enjoys solving complex technical challenges, building scalable AI solutions, and collaborating with cross-functional teams.

Key Responsibilities

• AI Model Development: Design, develop, train, test, and deploy AI and machine learning models and algorithms.
• Machine Learning Optimization: Continuously improve model accuracy, performance, and reliability through experimentation and iterative development.
• NLP & Computer Vision: Develop and implement solutions involving natural language processing and computer vision.
• Data Analysis: Analyze complex datasets, identify patterns, and translate findings into actionable business insights.
• Cloud & Data Engineering: Work with Microsoft Azure, Azure Synapse Analytics, and data pipelines to support AI and machine learning workflows.
• Application Maintenance: Monitor, troubleshoot, debug, and maintain existing AI applications and models to ensure optimal performance.
• Cross-Functional Collaboration: Partner with technical teams and business stakeholders to identify challenges and develop effective AI-driven solutions.
• Technical Documentation: Prepare clear documentation, communicate technical findings, and present recommendations to stakeholders.
• Continuous Innovation: Stay current with emerging AI technologies, machine learning frameworks, and industry best practices.

Required Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or a closely related field.

Technical Skills

• Proven professional experience in Artificial Intelligence, Machine Learning, or Data Science .
• Hands-on experience with Natural Language Processing (NLP) and Computer Vision .
• Strong programming proficiency in Python, R, or Java .
• Experience with machine learning frameworks and libraries, including TensorFlow, PyTorch, or scikit-learn .
• Familiarity with Microsoft Azure, Azure Synapse Analytics, and data workflows/pipelines .
• Experience developing, deploying, maintaining, and troubleshooting AI/ML applications.
• Strong analytical, debugging, and problem-solving abilities.

Professional Skills

• Ability to work independently and collaboratively within cross-functional teams.
• Excellent written and verbal communication skills.
• Ability to explain complex technical concepts to technical and nontechnical stakeholders.
• Strong organizational skills and attention to detail.

Work Location & Engagement Requirements

• Remote Work: The position is primarily remote, with occasional onsite attendance required.
• Preferred Location: Harrisburg, Middletown, or surrounding areas in Pennsylvania.
• Onsite Availability: Candidates must be able to report to Pennsylvania Turnpike facilities in Middletown, PA within three hours in the event of an emergency.
• Mandatory Orientation: The selected candidate must attend a full-day onsite orientation in Middletown, PA to complete onboarding and collect assigned equipment. Initial orientation travel expenses are not reimbursed.
• Occasional Travel: Onsite attendance may be required for stakeholder meetings, planned implementations, or critical system issues.
• Background Verification: Successful completion of required Pennsylvania and national criminal background checks is mandatory.
• Onboarding: The selected candidate must complete all required onboarding documentation and applicable confidentiality agreements.