Associate ML Ops Engineer

Opus; Abu Dhabi; On-site; AED 120,000 - 180,000; Full time

Benefits offered by this job

21 days paid annual leave

Company health insurance

Visa sponsorship for international

Job summary

AppliedAI in Abu Dhabi is seeking an Associate ML Ops Engineer to join our growing team. You will work at the intersection of operations and development to keep our platform reliable, scalable, and secure as teams deliver AI solutions for regulated industries.

The ideal candidate is early in their SRE/MLOps career with 1–2 years of relevant experience, familiar with AWS services, automation, and modern CI/CD practices.

Qualifications

• 1–2 years of experience in SRE, DevOps, or similar roles.
• Hands-on with AWS services and cloud infrastructure.
• Familiarity with monitoring, incident response, and on-call practices.
• Understanding of security, IAM, encryption, and least privilege.
• Experience with infrastructure as code and automation.

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 and incident response processes.
• Assist with capacity planning and performance optimization.
• Support CI/CD pipelines and deployment processes.

Skills

SRE Fundamentals

AWS Services

Observability Tools

Automation Scripting

On-call Experience

Security Best Practices

Education

Bachelor's in CS or related

AWS Certification(s)

Tools

AWS Lambda

ECS / Fargate

CDK / CloudFormation

Terraform

CI/CD Tooling

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.