Job Description:
As part
of improving predictability of systems and its failures, our company is
initiating the project to analyze its database of system behavior, user
behavior, failures, root causes and potential resolution steps. Using these
rich data, algorithms shall be built to analyze, predict, heal and recommend
system improvements.
Roles & Responsibilities:
·
Designing and developing machine learning and deep learning systems.
·
Running machine learning tests and experiments.
·
Implementing appropriate ML algorithms.
·
Implement AI/ML/DL in System Failure Analytics and RCA.
Desired Competencies/Experience:
·
Atleast 3 years’ experience in using AI/ML/DL.
·
Experience in Data analytics, Algorithm/Model creation, training,
testing and deploying AI/ML/DL models.
·
Experience in Python/Java/R and AI/ML libraries.
·
Understanding of data structures, data modelling and software
architecture.
·
Deep knowledge of math, probability, statistics and algorithms.
·
Ability to write robust code in Python, Java or R.
·
Familiarity with machine learning frameworks (like Keras or
PyTorch) and libraries (like scikit-learn): Good to Have.
·
Excellent communication skills.
·
Ability to work in a team.
·
Outstanding analytical and problem-solving skills.
Working
Hours : Morning Shift