Shakti Solutions · 19 hours ago
MLOps
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Responsibilities
Model Deployment: Manage and optimize model deployment processes, including the use of Kubernetes for containerized model deployment and orchestration.
Model Registry Management: Maintain and manage a model registry to track versions and ensure smooth transitions from development to production.
Design, develop, and maintain robust ETL/ELT, curated and feature engineering processes using Python and SQL to extract, transform, and load data from various sources into our data platforms
CI/CD Implementation: Develop and implement Continuous Integration/Continuous Deployment (CI/CD) pipelines for model training, testing, and deployment, ensuring high code quality through rigorous model code reviews.
Model Monitoring & Optimization: Design and implement model inference pipelines and monitoring frameworks to support thousands of models across various pods, optimizing execution times and resource usage.
Team Leadership & Training: Manage, mentor, and train junior engineers, fostering their growth and learning while overseeing a large team
Collaboration with Data Science Teams: Train and collaborate with data science team members on best practices in tools such as Kubeflow, Jenkins, Docker, and Kubernetes to ensure smooth model productionization.
Reusable Frameworks Development: Draft designs and apply reusable frameworks for drift detection, live inference, and API integration.
Cost Optimization Initiatives: Propose and implement strategies to reduce operational costs, including optimizing models for resource efficiency, resulting in significant annual savings.
Documentation & Standards Development: Produce MLE standards documents to assist data science teams in deploying their models effectively and consistently.
Qualification
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Required
Over 10 Years of IT Experience.
8+ years of experience in data engineering or a related field, with a strong focus on Python, SQL, and Azure Cloud technologies.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.