Lead Machine Learning Engineer at CYNET SYSTEMS
About the role
Salary: $114,400 - 124,800 per year Requirements: Strong experience with traditional machine learning and Agentic AI Expertise in MLOps, model deployment, and cloud engineering Solid foundation in software engineering and system design Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Spark or PySpark, and REST APIs Experience with CI/CD tools such as GitHub Actions, Jenkins, or CloudBees Strong understanding of data engineering, distributed systems, and AI lifecycle management Bachel…
Interview process at CYNET SYSTEMS
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 CYNET SYSTEMS interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.