Machine Learning Engineer

RESPONSIBILITIES

Kforce has a client that is seeking a Machine Learning Engineer in Cincinnati, OH.

Summary

The Machine Learning Engineer is responsible for developing, implementing and maintaining knowledge-based or artificial intelligence application systems. The individual should ensure that information is converted into a format that is digestible and easy for end users to access the information and utilize it optimally.

The project this position will support is working to build a product for Sales Enablement which utilizes artificial intelligence - Generative AI and Machine Learning models to enhance user experience. This role will focus on the Machine Learning models, development, and model risk management in a team setting. They will be part of an existing on full stack and AI engineers.

Responsibilities

• Understand business problems, comprehend data, systems and existing solutions, harvest data from data pipelines and propose models for Sales Enablement
• Build an ML model that can be delivered in production setting with available and existing data set
• Expected to build and test the model in the application setting and meet all client specific SDLC requirements
• Collaborate with Model Risk Management for evaluation and evidence gathering
• Understand AI principles and will implement them as controls or integrate required solutions

REQUIREMENTS

• Must have experience in developing and deploying Generative AI embedded applications in a production setting within regulatory/financial environment
• Should have bias for action; Lead by example; An automation first and ownership mindset
• Must be able to articulate and guide team on implementing responsible AI principles in solution
• Should be able to guide and lead the team in Model risk evaluation, submit questionnaires and remediate risks identified.
• Should be able to lay down a clear framework for ML Ops and Governance cycle of AI applications
• Python, Java, Prior experience with Machine Learning models and MRM in a production setting
• Understand and have prior experience of Generative AI development, validation and evaluation techniques is a plus

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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