Senior Software Engineer (ML Focus) at Kforce Inc.

Cincinnati, OH 45202

About the Job

Kforce has a client in Cincinnati, OH that is seeking a dynamic Senior Software Engineer with an ML focus to lead the integration and operationalization of machine learning models in our Search area. This role requires collaboration with data scientists and leadership teams, and a strong foundation in MLOps methodologies. The candidate will bridge MLOps, data science, and leadership to ensure the smooth functioning of our ML infrastructure. Responsibilities: Feature Store Management:

Efficiently manage, share, and reuse machine learning features at scale using Vertex AI Feature Store
Implement feature stores as a central repository for maintaining transparency in ML operations across the organization
Enable feature delivery with endpoint exposure while maintaining authority and security features.

Data Management and Collaboration:

Assist as needed with data labeling and management, ensuring high-quality data for ML models
Collaborate with data engineers and data scientists to ensure the integrity and efficiency of data used in ML models
Ensure end-to-end integration for data to AI, including the use of BigTable/BigQuery for executing machine learning models on business intelligence tools

Continuous Monitoring and Optimization:

Monitor ML systems in production, identify improvement opportunities, and implement optimizations
Participate in support rotations and participate in support calls as necessary

Requirements:

Diverse ML Platform Expertise:

Maintain expertise in a range of ML technologies and platforms, with a preference for Google Vertex AI, but open to other systems as needed
Leverage support for open-source frameworks like TensorFlow, PyTorch, scikit-learn, and integrate them with ML frameworks via custom containers
Stay updated with the latest trends in MLOps and ML technologies

Recommender System Design and Development:

Hands-on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, transformers, and LLMs
Software engineering skills to work with teams integrating the recommender systems into customer facing products
Experience in AB testing and iterative optimization using data driven approaches
Understanding of infrastructure needs required to deploy ML systems (CPU/GPU, networking infrastructure)

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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