6 days ago
Analytics DevOps Engineer
HP
On Site
Full Time
$120,000
Pune, Maharashtra, India
Job Overview
Job TitleAnalytics DevOps Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$120,000
LocationPune, Maharashtra, India
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Job Description
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 years 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.
Key skills/competency
- DevOps
- Data Pipelines
- CI/CD
- ML Operations
- Cloud Platforms
- Python
- Kubernetes
- Performance Tuning
- Monitoring
- Version Control
How to Get Hired at HP
- Research HP's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Customize your resume: Highlight your DevOps, MLOps, and cloud platform experience for HP.
- Showcase technical prowess: Prepare to discuss CI/CD tools, Python, and cloud architecture in detail.
- Emphasize problem-solving: Be ready to share specific examples of resolving complex operational issues.
- Network within HP: Connect with current employees on LinkedIn to gain valuable insights.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What specific CI/CD tools does HP utilize for the Analytics DevOps Engineer role?
02How does the Analytics DevOps Engineer collaborate with data scientists at HP?
03What is the typical tech stack for data processing in the Analytics DevOps Engineer role at HP?
04Can you describe HP's approach to ML model health monitoring and drift detection?
05What opportunities exist for professional development as an Analytics DevOps Engineer at HP?
06How does HP manage version control and reproducibility for ML models?
07What kind of impact can an Analytics DevOps Engineer expect to have on HP's products?
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