Associate ML Ops Engineer

AppliedAI; Abu Dhabi; On-site; AED 156,000 - 234,000; Full time

Benefits offered by this job

Health insurance

Visa sponsorship

On-site Abu Dhabi HQ

Job summary

AppliedAI, a pioneering AI technology company headquartered in Abu Dhabi, UAE, is seeking an Associate ML Ops Engineer to join our growing team. You will work at the intersection of operations and development to improve platform reliability, performance, and security, helping our teams build scalable AI solutions.

The ideal candidate has 1–2 years in SRE/DevOps, hands-on AWS experience, and familiarity with IaC.

Qualifications

• 1–2 years of SRE/DevOps experience.
• Hands-on with AWS cloud services.
• Experience with monitoring/observability tooling.
• Familiarity with infrastructure as code (CDK/ Terraform).

Responsibilities

• Monitor and maintain production, development, and staging environments for high availability.
• Collaborate with DevOps, MLOps, and Development teams to troubleshoot issues.
• Support observability stack guided by senior engineers.
• Maintain incident response processes.
• Assist with capacity planning and performance optimization for high-traffic systems.
• Ensure security & regulatory compliance across infrastructure.
• Participate in on-call rotation during business hours.
• Contribute to defining and tracking SLOs, SLIs, and SLAs.
• Support CI/CD pipelines and deployment processes.

Skills

Monitoring & observability

SRE/DevOps fundamentals

Automation scripting

Incident response

On-call experience

Tools

AWS (Lambda, ECS, Fargate)

Terraform / CDK

CI/CD tooling

Containerization/microservices

Job description

AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, UAE. We are committed to innovation and excellence in artificial intelligence solutions across regulated industries such as healthcare, insurance, government, and financial services.

AppliedAI is at the forefront of redefining the future of work through cutting‑edge AI solutions. We empower organizations by automating complex, document‑heavy processes, ensuring unparalleled efficiency and accuracy. Our commitment to synergizing human intelligence with artificial intelligence helps our clients excel in highly regulated industries, including healthcare, finance, and insurance.

We're seeking an Associate ML Ops Engineer to join our growing team. In this role, you'll work at the intersection of operations and development, supporting our platform's reliability, performance, and security while helping our development teams build and maintain scalable solutions. This is a strong opportunity for someone early in their SRE/MLOps career to build technical depth alongside a senior team.

Key Responsibilities

• Help monitor and maintain production, development and staging environments, supporting high availability and performance of our architecture
• Collaborate with DevOps, MLOps and Development teams to help troubleshoot and resolve issues
• Support our observability stack, with guidance from senior engineers
• Help maintain and improve our incident response processes
• Assist with capacity planning and performance optimization for systems handling up to 10,000 requests per minute
• Support compliance with security standards and regulatory requirements across our infrastructure
• Participate in on‑call rotation during regular business hours, with senior engineer backup for escalations
• Help implement and maintain SLOs, SLIs, and SLAs
• Support cloud cost optimization efforts alongside system performance and reliability
• Support our CI/CD pipelines and deployment processes

Required Skills & Experience

Infrastructure Best Practices

• Familiarity with infrastructure best practices such as the AWS and Azure Well‑Architected Framework
• Basic understanding of infrastructure patterns for high availability, fault tolerance, and disaster recovery
• Understanding of infrastructure security fundamentals (principle of least privilege, network segmentation, encryption at rest/in transit)
• Awareness of infrastructure compliance and governance frameworks
• Interest in cost optimization strategies and FinOps practices
• Exposure to Infrastructure as Code concepts (modularity, reusability, versioning)
• Understanding of observability patterns (logging, metrics, tracing)

Technical Experience

• 1-2 years of experience in SRE, DevOps, or a similar role (internships and hands‑on project experience will be considered)
• Some experience with AWS services, including:
  • Compute: Lambda, ECS, Fargate
  • Networking: ALB, ELB, API Gateway, Route53, CloudFront, AppSync
  • Messaging: EventBridge, SNS, SQS
  • Security: Security Groups, Secrets Manager (SM), Systems Manager (SSM), IAM
• Exposure to monitoring and observability tools
• Basic knowledge of infrastructure as code (CDK and/or Terraform)
• Understanding of event‑driven architecture concepts
• Some experience with containerization and microservices
• Basic scripting and automation skills
• Good problem‑solving abilities and a systematic approach to debugging
• Experience working in Agile environments is a plus

Preferred Qualifications

• Experience with Next.js, Node.js and Python
• Familiarity with authentication systems (Auth0, SSO)
• Awareness of regulatory compliance requirements (SOC 2, HIPAA, GDPR, PCI DSS)
• Interest in ML/LLM operations
• Exposure to multi‑region AWS deployments
• Interest in working with high‑traffic systems
• Basic experience with database management and optimization
• Awareness of caching strategies and CDN implementations
• Understanding of data lifecycle management and ETL processes
• Exposure to vector and graph databases is a plus

What We Offer

• Opportunity to work with cutting‑edge technologies
• Mentorship and guidance from senior SRE, Architecture, DevOps and MLOps engineers as you build your skills
• Collaborative environment with dedicated Architecture, Development, DevOps & MLOps teams
• Growth potential in a rapidly scaling startup
• Work with a globally distributed team
• Regular working hours with flexibility for occasional emergency support
• A clear path to take on more ownership of SRE practices as you grow in the role

Required Qualities

• Problem‑solving mindset
• Team player attitude
• Self‑motivated and proactive approach
• Ability to work in a fast‑paced startup environment
• Strong interest in continuous learning and skill development

The ideal candidate is early in their reliability engineering career, eager to build technical depth in a collaborative environment, and comfortable working in a dynamic startup setting while developing toward higher standards of system reliability and performance over time.

• Opportunity to work with a leading AI technology company.
• Collaborative and innovative work environment.
• Growing, entrepreneurial and forward-thinking culture.
• Career growth and professional development opportunities.
• Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
• 21 days of paid annual leave.
• Company provided health insurance.
• Visa sponsorship for international candidates.