AI/MLOps Engineer
Salário Estimado
R$ 15.600,00 - R$ 23.400,00
Ótimo
Score da Vaga
Descrição da Vaga
You will play a crucial part in automating ML workflows, monitoring model performance, and optimizing resource utilization in cloud environments. Join us to help drive the future of AI-powered solutions in a fast-paced, collaborative environment.
Responsibilities
- Design and maintain monitoring and observability solutions for AI applications and ML pipelines
- Track logs, metrics, and traces using tools such as CloudWatch, Datadog, or similar platforms
- Develop evaluation and testing frameworks for prompts, models, and AI workflows
- Perform regression testing and quality validation for LLM-based systems
- Manage prompt experimentation, versioning, and A/B testing processes
- Debug AI workflows, including model outputs, orchestration pipelines, and infrastructure failures
- Support deployment, scaling, and maintenance of AI/ML infrastructure in production environments
- Collaborate with engineering and product teams to improve system reliability and performance
- Analyze production data and user feedback to drive continuous improvement of AI systems
- Contribute to operational best practices, documentation, and incident response processes
- Experience with DevOps, SRE, MLOps, or AI infrastructure engineering
- Strong understanding of monitoring and observability concepts
- Hands-on experience with tools such as Datadog, CloudWatch, Grafana, Prometheus, or similar
- Experience supporting AI/ML or LLM-based applications in production
- Familiarity with prompt engineering, model evaluation, and experimentation workflows
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud
- Experience troubleshooting distributed systems and production pipelines
- Proficiency in Python, scripting, or automation tooling
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Experience with LLM orchestration frameworks
- Familiarity with vector databases and RAG architectures
- Experience with CI/CD pipelines for ML systems
- Knowledge of Kubernetes, Docker, and infrastructure-as-code tools
- Experience with AI governance, security, or compliance practices
- Your pick when it comes to employment models: CLT/PJ/Cooperativa;
- We provide resources for you to grow and learn on the job, including online courses, mentoring, and the latest-gen laptops;
- A fully remote work environment with flexible working hours;
- Bonus for any referrals that we end up hiring;
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Informações
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