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Analytics DevOps Engineer

Job Summary
This role is responsible for implementing and maintaining data pipelines, optimizing model performance, and automating deployment workflows using CI/CD tools. It includes monitoring model health, resolving operational issues, and collaborating with data scientists to align infrastructure with model requirements.
Responsibilities

Implement and maintain data pipelines to support AI/ML workflows.
Optimize model performance through tuning and monitoring.
Automate deployment processes using CI/CD tools.
Monitor ML model health, including drift detection and performance metrics.
Collaborate with data scientists to align infrastructure with model requirements.
Develop and maintain CI/CD pipelines for ML model deployment.
Troubleshoot operational issues in AI/ML systems.
Apply best practices in version control and model reproducibility.
Perform performance tuning of deployed systems.

Education & Experience Recommended

2-4 year of experience
Bachelor’s degree in engineering, computer science, information technology or a related field.

Preferred Certifications

N/A.

Knowledge & Skills

CI/CD: Azure Pipelines or Github Actions
Airflow
Software engineering; Git, Python, R, Java, Scala
Docker, Kubernetes, EKS, AKS
AWS, SageMaker, Bedrock or Azure ML / AI Foundry
Databricks
Data processing and transformation
Monitoring and logging tools (Splunk, Opensearch, DataDog)
Jira
Machine Learning (ML)
ML Operations
Data Engineering
Model Deployment
Performance Optimization
Artificial Intelligence (AI)
Infrastructure Management
Monitoring and Observability
Continuous Integration (CI).

Cross-Org Skills

Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Impact & Scope

Impacts immediate team and acts as an informed team member providing analysis of information and limited project direction input.

Complexity

Responds to routine issues within established guidelines.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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