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ML-Ops (AI/ML Ops/Kubernetes) Engineer

ML-Ops (AI/ML Ops/Kubernetes) Engineer

Apptad

6 - 10 years

5 - 9 Lacs

Noida

Posted:6 hours ago| Platform:

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Skills Required

algorithms kubernetes python machine learning artificial intelligence c++ natural language processing scikit-learn microsoft azure numpy docker sql pandas deep learning tensorflow java data science computer vision pytorch aws opencv ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a skilled ML-Ops (AI/ML Ops/Kubernetes) Engineer with 6 to 10 years of experience. The ideal candidate will have a strong background in machine learning and operations, with expertise in AI/ML ops and Kubernetes.
Roles and Responsibility

Design and implement scalable data pipelines using AI/ML techniques.

Collaborate with cross-functional teams to develop and deploy machine learning models.

Develop and maintain large-scale data architectures using Kubernetes.

Ensure seamless integration of machine learning models into existing systems.

Troubleshoot and resolve complex technical issues related to AI/ML and Kubernetes.

Implement automated testing and deployment scripts for efficient workflow management.

Job

Strong understanding of machine learning concepts and algorithms.

Experience with AI/ML frameworks such as TensorFlow or PyTorch.

Proficiency in programming languages such as Python or Java.

Experience with cloud platforms such as AWS or Azure.

Knowledge of containerization using Docker and orchestration using Kubernetes.

Excellent problem-solving skills and attention to detail.

Ability to work collaboratively in a team environment.

About Company
Apptad Technologies Pvt Ltd. is an employment firm that provides recruitment services to various industries. We focus on matching top talent with the right opportunities, and we are committed to delivering exceptional results.

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Apptad

IT Services and IT Consulting

Alpharetta Georgia

1001-5000 Employees

456 Jobs

Key People

John Doe

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Jane Smith

CTO

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ML-Ops (AI/ML Ops/Kubernetes) Engineer