Machine Learning Engineer at Kforce Technology Staffing
About the role
RESPONSIBILITIES: Kforce has a client that is seeking a Machine Learning Engineer in Armonk, NY. Duties: * Build and improve National Grid's AI Platform; The primary goal is to design and implement the core REST API that powers the platform * Collaborate with other IT teams (e.g., security, cloud, etc.) to deliver a reliable, secure and easy-to-use AI platform for teams to use Timeline: * Target start: November 2, 2026, or the earliest practical date after selection, onboarding, and access appr…
Interview process at Kforce Technology Staffing
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Kforce Technology Staffing interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.