This test helps assess a candidate or employee's ability to apply ML concepts like software building, testing, and deployment to reduce errors. Utilize it to make data-driven talent decisions for existing employees and reduce your interviews-to-hire ratio by up to 80%.
It refers to using machine learning to produce a more streamlined and effective workflow in the DevOps process. Recruiters and L&D managers can test an individual's comprehension of this procedure and familiarity with various machine learning concepts, tools, and methodologies.
Why use iMocha's MLOps skills test?
You can customize the assessment to specific technical requirements using iMocha's coding simulator with 35+ coding languages. It also provides an in-depth analysis of the applicant's knowledge in a language relevant to roles, like Python, Scala, and more. Its test analytics functionality allows you to identify candidates' strengths and weaknesses, enabling a comparison against industry standards.
This test helps to assess the following skills:
Our SMEs have created all the test questions of this assessment according to EEOC compliance to make the hiring and upskilling process bias-free.
These tests can be tailored to evaluate the precise knowledge and expertise needed for a job or project. Tests can be curated to evaluate an individual's skills in managing the lifetime of ML models, deploying models to a production environment, and tracking model performance. It can also be customized based on the specific requirements of the organization, including the level of difficulty, the types of questions, and the focus areas.
Some common interview questions asked for this role are:
If you are looking for a more custom set of questions, iMocha can help!
Technical skills required for this role:
Soft skills required for this role:
Explore our list of in-depth ML engineer skills that organizations need for success in the role.
An MLOps Engineer's primary duties include the following: