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MLOPS

MLOPS

Apptad

3 - 8 years

3 - 6 Lacs

Noida

Posted:5 days ago| Platform:

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Skills Required

python aws iam machine learning artificial intelligence computer vision hive project management caffe aws sagemaker numpy aws cloudformation docker pandas amazon sqs tensorflow apb lambda expressions spark linux pytorch keras sns bash aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a skilled MLOps professional with 3 to 11 years of experience to join our team in Hyderabad. The ideal candidate will have a strong background in Machine Learning, Artificial Intelligence, and Computer Vision.
Roles and Responsibility

Design, build, and maintain efficient, reusable, and tested code in Python and other applicable languages and library tools.

Understand stakeholder needs and convey them to developers.

Work on automating and improving development and release processes.

Deploy Machine Learning (ML) to large production environments.

Drive continuous learning in AI and computer vision.

Test and examine code written by others and analyze results.

Identify technical problems and develop software updates and fixes.

Collaborate with software developers and engineers to ensure development follows established processes and works as intended.

Plan out projects and participate in project management decisions.

Job

Minimum 3 years of hands-on experience with AWS services and products (Batch, SageMaker, StepFunctions, CloudFormation/CDK).

Strong Python experience.

Minimum 3 years of experience with Machine Learning/AI or Computer Vision development/engineering.

Ability to provide technical leadership to developers for designing and securing solutions.

Understanding of Linux utilities and Bash.

Familiarity with containerization using Docker.

Experience with data pipeline frameworks, such as MetaFlow is preferred.

Experience with Lambda, SQS, ALB/NLBs, SNS, and S3 is preferred.

Practical experience deploying Computer Vision/Machine Learning solutions at scale into production.

Exposure to technologies/tools such as Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, DVC/CML.

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