Cognizant hiring for MLOPS Engineer
Cognizant is hiring for the profile of MLOPS Engineer . Graduates are eligible to apply for this position. This profile is open for the location of Coimbatore . Complete information about the hiring is mentioned below:
Job Overview
| Company Name | Cognizant |
|---|---|
| Profile Hiring for | MLOPS Engineer |
| Role | Machine Learning Engineer |
| Salary | As per Market Standards |
| Work Profile | Work From Office |
| Eligibility | Experienced Jobs |
| Location | Coimbatore |
| Job Category | Data Science & Analytics |
| Sub Category | Data Science & Machine Learning |
| Job ID | NX15190 |
Role – MLOPS
Location : Pan Indida
Experience : 5+ to 12 Years
Mode of Interview – In Person (Chennai)
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.
To apply for this job please visit careers.cognizant.com.
How to Apply for Cognizant Recruitment
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Click Apply Here or Employer Contact Details. Both buttons will take you to the official application page after email verification.
1. Never pay any amount for getting a job. 2. Apply before the hiring closes or the employer stops accepting applications.
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