AI Production Engineer — MLOps & DevOps on AWS

SYNC; Saudi Arabia; On-site; SAR 280,000 - 560,000; Full time

Job summary

SYNC is seeking an MLOps + DevOps Engineer to build and operate an AI-native platform at the intersection of ML systems, backend infrastructure, and distributed workflows. You will ensure models, agents, APIs, and end-to-end workflows run reliably, scale predictably, and stay observable in production.

You will design cloud architectures, manage ML platforms on AWS, and implement CI/CD pipelines beyond basic GitHub Actions, while ensuring security and governance across services.

Qualifications

• Expertise in AWS cloud services, EC2, S3, Lambda, ECS/EKS, and managed AI platforms.
• Hands-on Docker and Kubernetes at production grade.
• Experience with Apache Kafka or similar event-driven platforms.
• Networking protocols, VPC, load balancers, security concepts.
• Distributed systems and reliability engineering experience.
• CI/CD pipelines with Jenkins, GitLab CI, or GitHub Actions.
• Observability stack: Grafana, Prometheus, ELK, Sentry, OpenTelemetry.
• Strong ownership, communication and code-review skills.

Responsibilities

• Design cloud architectures for AI/ML workloads and production-grade systems.
• Build and manage ML platforms using AWS services (EC2, ECS/EKS, Lambda, S3, RDS, VPC, IAM).
• Leverage Bedrock, SageMaker or similar for model training and deployment.
• Use Terraform, CloudFormation or CDK to automate cloud provisioning.
• Work with vector and graph databases to support RAG and knowledge solutions.
• Deploy and manage Small/Medium Language Models and external LLMs.
• Build pipelines for model versioning, evaluation and fine-tuning.
• Support RAG, embeddings and vector DB infra.
• Design and operate event-driven backend infra – Kafka.
• Handle async workflows, retries, ordering, idempotency and API communication.
• Own Kubernetes cluster design, scaling strategies, workload isolation.
• End-to-end CI/CD and multi-service deployment, environment isolation, blue/green.

Skills

Distributed systems

Reliability engineering

Observability

Ownership & communication

CI/CD practices

Security concepts

Tools

Docker

Kubernetes

Apache Kafka

Jenkins

GitLab CI

GitHub Actions

Grafana

Prometheus

ELK

OpenTelemetry

Job description

SYNC is seeking an MLOps + DevOps Engineer to build and operate an AI-native platform at the intersection of ML systems, backend infrastructure, and distributed workflows. You will ensure models, agents, APIs, and end-to-end workflows run reliably, scale predictably, and stay observable in production.

You will design cloud architectures, manage ML platforms on AWS, and implement CI/CD pipelines beyond basic GitHub Actions, while ensuring security and governance across services.