19 hours ago
AI DevOps Engineer
BeGig
Hybrid
Part Time
$200,000
Hybrid
Job Overview
Job TitleAI DevOps Engineer
Job TypePart Time
Offered Salary$200,000
LocationHybrid
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Job Description
About BeGig
BeGig is the leading tech freelancing marketplace connecting companies with specialists who ship and operate real systems. As AI moves into production, DevOps practices must evolve—AI DevOps sits at that intersection.
Your Opportunity
Join BeGig as an AI DevOps Engineer and design, deploy, and operate AI-powered systems in production. Your role ensures AI services are scalable, observable, secure, and cost-efficient. Engagements are remote and structured on an hourly or project basis.
Role Overview: As an AI DevOps Engineer, you will:
- Deploy AI Systems: Productionize AI and ML services.
- CI/CD for AI: Build pipelines for model and service deployment.
- Infrastructure Management: Manage cloud infrastructure supporting AI workloads.
- Monitoring & Reliability: Implement observability for AI services.
- Cost Optimization: Control compute, inference, and storage costs.
Technical Requirements & Skills
- Experience: Minimum 2+ years in DevOps, MLOps, or AI infrastructure roles.
- Cloud Platforms: Experience with AWS, GCP, or Azure.
- Containers & Orchestration: Experience with Docker and Kubernetes.
- Automation: Strong scripting skills (Python, Bash).
- Monitoring: Familiarity with logging, metrics, and alerting systems.
What We’re Looking For
- An engineer who understands AI as a production system.
- Someone focused on reliability and operational excellence.
- A freelancer comfortable owning live AI infrastructure.
Why Join Us?
- High-Leverage Role: AI DevOps directly affects system success.
- Remote & Flexible: Project-based engagements.
- Strong Demand: AI operations are critical and growing.
- Durable Skills: DevOps + AI compounds in value.
Key skills/competency
- AI Systems Deployment
- CI/CD Pipelines
- Cloud Infrastructure Management
- MLOps
- Observability
- Cost Optimization
- Reliability Engineering
- Docker
- Kubernetes
- Python Scripting
How to Get Hired at BeGig
- Research BeGig's freelance model: Understand their platform for connecting specialists with companies.
- Tailor your resume for AI DevOps: Highlight experience with AI/ML production systems, CI/CD, and cloud platforms.
- Showcase your project portfolio: Demonstrate real-world freelance projects involving AI infrastructure and MLOps.
- Emphasize operational excellence: Prepare to discuss how you ensure reliability, scalability, and cost efficiency in AI systems.
- Network within the AI/MLOps community: Engage with professionals on platforms like LinkedIn to discover opportunities.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What is the typical engagement structure for an AI DevOps Engineer at BeGig?
02What specific cloud platforms are preferred for the AI DevOps Engineer role at BeGig?
03How important is CI/CD experience for an AI DevOps Engineer joining BeGig?
04What kind of cost optimization responsibilities does an AI DevOps Engineer have at BeGig?
05What is BeGig looking for in a freelancer for the AI DevOps Engineer role?
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