AI/ML Ops Engineer

99x; São Paulo; Presencial; BRL 120 000 - 190 000; Tempo integral

Resumo da oferta

99x is seeking an AI/ML Ops Engineer to support deployment, monitoring, and reliability of AI-powered systems in production. The role blends DevOps, cloud engineering, and AI support, requiring collaboration with software and AI teams.

The candidate should be comfortable with AWS, logging/metrics/tracing, containers, APIs, and deployment pipelines, and have 2+ years in DevOps/SRE/MLOps. Strong problem-solving and reliability focus desired.

Qualificações

• BS degree or equivalent in CS/Engineering/Data Science or related field
• 2+ years of experience in DevOps, Platform Engineering, SRE, MLOps, or AI infra roles

Responsabilidades

• Support deployment and operation of AI/ML applications and services
• Monitor AI systems using logs, metrics, tracing, and observability tools
• Troubleshoot AI workflows, pipelines, and runtime failures
• Maintain scalable, secure cloud infrastructure
• Support experimentation, versioning, and A/B testing for AI systems
• Maintain CI/CD pipelines for AI services
• Investigate incidents and perform root-cause analysis

Conhecimentos

AWS

CloudWatch

Observability

AI/ML workflows

LLM-based apps

Containers

APIs

Deployment pipelines

DevOps

SRE

MLOps

Terraform

CloudFormation

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Terraform

CloudFormation

Descrição da oferta de emprego

We are looking for an AI/ML Ops Engineer to support the deployment, monitoring, and operational reliability of AI-powered systems in production environments.

This role combines elements of DevOps, cloud engineering, and AI system support. The ideal candidate should be comfortable working with cloud infrastructure, monitoring tools, and modern AI workflows, while collaborating closely with engineering and AI teams.

Key Responsibilities

• Support deployment and operational management of AI/ML applications and services
• Monitor AI systems using logs, metrics, tracing, and observability tools
• Troubleshoot and debug AI workflows, pipelines, and runtime failures
• Assist in maintaining scalable, secure, and reliable cloud infrastructure
• Support prompt experimentation, version tracking, and A/B testing activities
• Collaborate with engineering teams to improve system reliability, performance, and automationli>
• Maintain CI/CD workflows and deployment pipelines for AI services
• Participate in incident investigation, root cause analysis, and operational support activities

Preferred Skills & Experience

• Experience working with AWS cloud services
• Familiarity with monitoring and observability tools such as:
• Amazon CloudWatch
• Understanding of logging, metrics, tracing, and alerting concepts
• Familiarity with AI/ML workflows and LLM-based applications
• Experience with containers, APIs, and deployment pipelines
• Understanding of DevOps, cloud infrastructure, and operational best practices
• Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• 2+ years of experience in DevOps, Platform Engineering, SRE, MLOps, or AI infrastructure-related roles

What We’re Looking For

• Strong problem-solving and debugging capabilities
• Interest in modern AI operational practices and production AI systems
• Good communication and collaboration skills
• Practical mindset focused on reliability, scalability, and continuous improvement
• Ability to work in a fast-paced and evolving technology environment