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NStarX - MLOps Engineer - AWS/Python (3-8 yrs) Hyderabad (DevOps) | Engineer in Engineering Job at1

Nstarx India Private Limited

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NStarX - MLOps Engineer - AWS/Python (3-8 yrs) Hyderabad (DevOps)

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Location:
Hyderabad
Description:

Job Description : Key Qualifications :- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.- Minimum of 3 years of experience in machine learning engineering, with a proven track record of deploying scalable ML solutions on AWS.- Strong proficiency in Python, with hands-on experience in ML libraries (e.g., TensorFlow, PyTorch, Scikit learn).Technical Skills and Experience :AWS Expertise :- Extensive experience with AWS services related to ML and data processing, such as AWS Sagemaker, Lambda, S3, Glue, and EC2.- Proficiency in building and managing data processing pipelines utilizing AWS technologies.CI/CD Pipeline Development :- Solid understanding of CI/CD principles and experience in building and maintaining CI/CD pipelines specifically for ML workflows on AWS.- Familiarity with tools like AWS CodePipeline, CodeBuild, and Jenkins or GitLab for automation.ML Engineering Architecture Optimization :- Experience in optimizing ML architectures on AWS, including effective use of Lambda functions for scalable, event-driven ML processes.- Knowledge of containerization technologies (Docker, Kubernetes) and serverless architectures.Model Governance and Deployment :- Proven ability to set up model governance frameworks ensuring model quality, reproducibility, and auditability.- Experience in developing model deployment pipelines, ensuring models are robustly tested, version-controlled, and easily rolled out or rolled back.ML Model Development and Testing :- Strong background in developing, evaluating, and iterating on ML models to meet project objectives.- Proficiency in model testing techniques, including A/B testing and performance monitoring.Responsibilities :- Design, develop, and maintain scalable data processing and ML pipelines on AWS, ensuring best practices in data handling and processing.- Implement and optimize CI/CD pipelines for automated testing, integration, and deployment of ML models.- Collaborate with data scientists and engineers to optimize ML engineering architecture on AWS, focusing on efficiency and scalability.- Establish robust model governance practices, including model versioning, auditing, and compliance with industry standards.- Continuously research and apply the latest ML technologies and methodologies to enhance project outcomes. (ref:hirist.tech)
Education/experience:
2 To 5 Years
Company:
Nstarx India
Posted:
April 30 on hirist
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NStarX - MLOps Engineer - AWS/Python (3-8 yrs) Hyderabad (DevOps) is a Engineering Engineer Job at Nstarx India located in India. Find other listings like NStarX - MLOps Engineer - AWS/Python (3-8 yrs) Hyderabad (DevOps) by searching Oodle for Engineering Engineer Jobs.