ML DevOps

Position: ML DevOps
Level: Senior
Experience: 5+ (not freelance)
Working time zone: GMT+4
Location: Remote
Employment: Fulltime
 

Joining Valletta Software Development means:

 🌍 A Global, Thriving Team

 Join 100+ specialists from 20+ countries, united by a passion for outstanding IT solutions.

 🚀Diverse projects: Fintech, MedTech, AI/ML, e-commerce, and more. Switch teams or industries to broaden your skills.

💡 Support at Every Step Client interview prep: We train you to succeed + give actionable feedback. 

 ✔ ️ Strategic stability: Well-structured processes, strong management, and long- term vision.

✔️ Core values: Honesty, flexibility, innovation, and a people-first approach.

💸 Regular salary review based on your personal results.

✨ Paid rest days and sick leaves.

Responsibilities:

1. Container Orchestration & Scheduling (Kubernetes, K8s autoscaler, Helm, RunPod orchestration)

2. Cloud Infrastructure for AI/ML Workloads (GPU provisioning, RunPod, network volumes, object storage, caching strategies)

3. Messaging & Streaming Systems (NATS JetStream, message delivery guarantees, ACK/NACK, at-least-once/exactly-once patterns)

4. Observability & Monitoring (Grafana, Prometheus, custom metrics for queue length, wait time, GPU utilization, error tracking)

5. CI/CD & Deployment Automation (Docker, image optimization, build pipelines, automated deployment strategies)

We need someone who:

-Worked with ML model deployment

-Used cloud ML services (SageMaker, Azure ML)

-Built ML data pipelines

-Worked with ML monitoring and versioning

-Used AutoML platforms

-Worked with AI services (text, vision, speech)

-Implemented ML workflow automation

-Worked with ML model serving

-Used MLOps tools and practices

-Worked with AI/ML at scale

When responding, please include the following information in your cover letter:

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