Associate ML Ops Engineer

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 Dev Ops, 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 Fin Ops 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, Dev Ops, 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, Route
  53, Cloud Front, App Sync
• - Messaging:
  Event Bridge, 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, Dev Ops and MLOps engineers as you build your skills

Collaborative environment with dedicated Architecture, Development, Dev Ops & 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…