XenonStack Hiring Associate MLOps Engineer

Eligibility Criteria
Job Role	Associate MLOps Engineer
Education	BCA, BSC, B.Tech, MCA, MSC, and M.Tech
Stream	All Branches Eligible.
Year of Passing	2020, 2021
Experience	Fresher's( 0 - 1 Year's)
Location	Chandigarh
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Technical Graduates ( BCA, BSC, B.Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills.
Candidates should have knowledge of Kubernetes is a must-have.
Candidates should have knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
Candidates should have good understanding of ML and AI concepts. Hands-on experience in ML model development.
Candidates should have ability to decompose any problem into programmatic logical steps.
Candidate should have proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command-line toolkit.
Candidates should have knowledge in CI/CD/CT pipeline implementation.
Candidates should have knowledge of cloud platforms - preferably AWS - would be an advantage.

Candidates have to research and implement MLOps tools, frameworks, and platforms for our Data Science projects.
Candidates have to work on a backlog of activities to raise MLOps maturity in the organization.
Candidates have proactively introduce a modern, agile and automated approach to Data Science.
Candidates have to conduct internal training and presentations about MLOps tools’ benefits and usage.