AI/ML Engineer

Kforce - Mount Pleasant, PA

Full-time

Mount Pleasant, PA

Administrative and Support Services

About the position

Kforce has a client that is seeking an AI/ML Engineer in Mount Pleasant, PA. The AI/ML Engineer will work closely with the data architect and data analytics team to construct data storage and data pipelining solutions for machine learning (ML) and analytic products. This role is crucial in managing the creation of data storage solutions for data retrieved from TCTP, as well as ensuring data quality and transformation pipelines for any data intended for insight generation through ML services or statistical modeling. As an AI/ML Engineer, you will be responsible for configuring the necessary cloud services and containers for data analytics or ML modeling work. Additionally, you will oversee the deployment of productionized ML models and ensure that all outputs are available for dashboarding purposes. Your contributions will also extend to documenting the ML deployments and data pipelines for which you are responsible, ensuring clarity and accessibility for future reference.

Responsibilities

• Build data pipelines for analytics and machine learning (ML) purposes
• Design, build, test, and deploy ML models
• Prepare data programmatically for statistical modeling
• Deploy and manage instances of ML models/containers within the data pipeline
• Document ML deployments and data pipelines

Requirements

• 3+ years of experience with SQL
• Experience with Python for statistical or ML purposes
• Experience and understanding of feature engineering for ML purposes
• Experience with Spark/PySpark, AWS Glue, or other ETL tools
• Experience with Sagemaker and other AWS ML tools
• Experience implementing and managing instances of ML models/containers within the client data tech stack
• Familiarity with any requisite data architecture or technologies used by the client (AWS)

Nice-to-haves

• Ability to help with data normalization, quality assurance, data manipulation, etc. for preparation for ML instances
• Ability to communicate effectively with system data engineers and clients to understand how best to architect data science solutions for client purposes using existing and planned data infrastructure

Benefits

• Comprehensive medical, dental, and vision insurance
• Health Savings Account (HSA)
• Flexible Spending Account (FSA)
• 401(k) retirement plan
• Life insurance
• Disability insurance
• Paid time off for salaried personnel
• Paid sick leave for hourly employees on Service Contract Act projects