5-10 years
2 months ago 144 Applied
Job Description

MLOps Engineer

Key words -Skillset
AWS SageMaker, Azure ML Studio, GCP Vertex AI
PySpark, Azure Databricks
MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline
Kubernetes, AKS, Terraform, Fast API

Responsibilities
Model Deployment, Model Monitoring, Model Retraining
Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline
Drift Detection, Data Drift, Model Drift
Experiment Tracking
MLOps Architecture
REST API publishing

Job Responsibilities:
Research and implement MLOps tools, frameworks and platforms for our Data Science
projects.
Work on a backlog of activities to raise MLOps maturity in the organization.
Proactively introduce a modern, agile and automated approach to Data Science.
Conduct internal training and presentations about MLOps tools benefits and usage.


Required experience and qualifications:
Wide experience with Kubernetes.
Experience in 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).
Good understanding of ML and AI concepts. Hands-on experience in ML model development.
Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and
Unix command line toolkit.
Experience in CI/CD/CT pipelines implementation.
Experience with cloud platforms - preferably AWS - would be an advantage.

JOB TYPE

Education

Bachelor Of Computer Application (B.C.A)
Bachelor Of Technology (B.Tech/B.E)

We would like to introduce ourselves as People First Consultants, a leading recruitment search firm handling clients all over India. We have been in the industry since 1995, catering to clientele in ITES, IT, Banking & Financial services, Telecom, Research and Automobile sectors.

About Recruiter
Naveed Mohamed Hassan

Functions

IT

Industry

Other

Skills/Roles

Java,
Golang,
C#,
Asp.net,
Python,
Data Science,
etc.

LEVEL HIRING FOR

Junior Level,
Mid Level,
High Level,
Top Management

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