Mlops| Azure|Data Bricks

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Admin Executive
1 month
India
Maharashtra
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ID: 470072
Published 1 month ago by LTIMindtree
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In Admin Executive category
Pune, Maharashtra, India
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Primary Skills: MLops, Azure Data Bricks

Total experience- 5 to 8 years

Location: Pune/ Mumbai/ Hyderabad/ Chennai/ Bangalore/ Kolkata

Notice period- Immediate to 30 days

Mandatory Skills - ML Ops – Azure

Job Title

MLOps Engineer

Requirements

• Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)

• Strong software engineering skills in complex, multi-language systems

• Fluency in Python

• Comfort with Linux administration

• Experience working with cloud computing and database systems

• Experience building custom integrations between cloud-based systems using APIs

• Experience developing and maintaining ML systems built with open source tools

• Experience developing with containers and Kubernetes in cloud computing environments

• Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)

• Ability to translate business needs to technical requirements

• Strong understanding of software testing, benchmarking, and continuous integration

• Exposure to machine learning methodology and best practices

• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)

• Experience with OpenAI / ChatGPT and cognitive services

Competencies

• Strong problem solving skills.

• Excellent written and verbal communication skills for coordinating across teams.

• Drive to learn and master new technologies and techniques Read more

Published on 2025/09/10. Modified on 2025/09/10.

Description

Primary Skills: MLops, Azure Data Bricks

Total experience- 5 to 8 years

Location: Pune/ Mumbai/ Hyderabad/ Chennai/ Bangalore/ Kolkata

Notice period- Immediate to 30 days

Mandatory Skills - ML Ops – Azure

Job Title

MLOps Engineer

Requirements

• Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)

• Strong software engineering skills in complex, multi-language systems

• Fluency in Python

• Comfort with Linux administration

• Experience working with cloud computing and database systems

• Experience building custom integrations between cloud-based systems using APIs

• Experience developing and maintaining ML systems built with open source tools

• Experience developing with containers and Kubernetes in cloud computing environments

• Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)

• Ability to translate business needs to technical requirements

• Strong understanding of software testing, benchmarking, and continuous integration

• Exposure to machine learning methodology and best practices

• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)

• Experience with OpenAI / ChatGPT and cognitive services

Competencies

• Strong problem solving skills.

• Excellent written and verbal communication skills for coordinating across teams.

• Drive to learn and master new technologies and techniques
LTIMindtree
LTIMindtree
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