Job Title: Lead AI/ML Engineer

Location: Malvern, PA

Position Type: Contract

Responsibilities:

• Design, develop and optimize complex data pipelines using machine-learning engineering best practices to ensure scalability, efficiency and reliability.
• Develop and implement robust MLOps pipelines to support the deployment, monitoring and lifecycle management of AI/ML models in production environments.
• Integrate and maintain data and model pipelines, proactively diagnosing data-quality issues and documenting assumptions.
• Collaborate closely with data scientists to validate model-ready datasets and ensure thorough, accurate feature documentation.
• Conduct exploratory data analysis and discovery on raw data sources, incorporating business context to support model development.
• Track data lineage and perform root-cause analysis during early stages of exploration or issue resolution.
• Partner with internal stakeholders to understand business processes and translate them into scalable analytical solutions. Develop and maintain model-monitoring scripts, investigate alerts and coordinate timely resolution.

Required Qualifications:

• Bachelor’s degree in a relevant field (master’s preferred).
• 7+ years of experience in AI engineering, machine-learning engineering or data engineering.
• Minimum 3 years of hands-on experience building ETL pipelines using AWS services.
• Proven experience developing and implementing ML pipelines for deploying, monitoring and managing AI/ML models in production.
• Proficient in Python and familiar with key machine-learning frameworks and libraries.
• Strong understanding of cloud technologies and AI/ML platforms such as AWS SageMaker.
• Solid grasp of software-engineering principles, including design patterns, testing, security and version control.
• Knowledge of the machine-learning development life cycle (MDLC) and AI-engineering best practices.
• Experience designing and implementing end-to-end machine-learning pipelines and solution architectures.