Principal Machine Learning Engineer at RESOURCESOFT, INC.
About the role
a { text-decoration: none; color: 464feb; } tr th, tr td { border: 1px solid e6e6e6; } tr th { background-color: f5f5f5; } Requirements 8 years of experience in Machine Learning Engineering, LLMs, RAG architectures, and AI solution design. Proficiency in agentic AI systems, MCP, vector databases, and generative AI platforms. Experience in cloud platforms including AWS, Azure, GCP, and cloud-native AI infrastructure. Experience with Python, MLOps, software engineering best practices, and microse…
Interview process at RESOURCESOFT, INC.
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 RESOURCESOFT, INC. interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.