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Analista senior de machine learning com mlops brl k mes pj Job Opening In Brasil – Now Hiring Netvagas

Analista senior de machine learning com mlops brl k mes pj

    Colombia Jobs Expertini Expertini Colombia Jobs Brasil Other General Analista Senior De Machine Learning Com Mlops Brl K Mes Pj

Job description

Buscamos um(a) Engenheiro(a) MLOps para integrar nosso time de dados e ser responsável pela operacionalização de modelos de machine learning.

Este profissional será fundamental para criar a ponte entre ciência de dados e produção, garantindo que nossos modelos sejam deployados, monitorados e mantidos com excelência em ambientes produtivos.

Requisitos
REMUNERAÇÃO

BRL 18K/mês (PJ)

MODELO DE TRABALHO

Remoto

Responsabilidades

Projetar e implementar pipelines de CI/CD para modelos de machine learning

Automatizar o ciclo de vida completo de ML: treinamento, validação, deploy e monitoramento

Containerizar modelos usando Docker e orquestrar com Kubernetes

Implementar versionamento de modelos, datasets e experimentos

Desenvolver APIs robustas para servir modelos em produção

Monitorar performance, drift e degradação de modelos em produção

Colaborar com Cientistas de Dados para otimizar modelos para produção

Integrar pipelines de ML com a infraestrutura de dados existente (DBT, warehouse)

Estabelecer práticas de governança e compliance para modelos de ML

Implementar estratégias de A/B testing e rollout gradual de modelos

Documentar arquiteturas, processos e melhores práticas de MLOps

Requisitos Obrigatórios

Formação em Engenharia, Ciências da Computação ou áreas correlatas

Experiência sólida com Python e frameworks de ML (TensorFlow, PyTorch, Scikit-learn)

Domínio de Docker e containerização de aplicações

Experiência com Kubernetes ou similares para orquestração

Conhecimento profundo em Git e práticas de versionamento

Experiência com plataformas cloud (AWS, GCP ou Azure) para ML:AWS: SageMaker, Lambda, ECR, ECS/EKS

GCP: Vertex AI, Cloud Run, GKE

Azure: Azure ML, AKS

Experiência com ferramentas de MLOps (MLflow, Kubeflow, Weights & Biases, ou similares)

Conhecimento em pipelines de dados e integração com data warehouses

Experiência com monitoramento e observabilidade (Prometheus, Grafana, ELK)

Familiaridade com conceitos de LLMOps para modelos de linguagem

Requisitos Desejáveis

Experiência com DBT e integração com pipelines de feature engineering

Conhecimento em Apache Airflow ou ferramentas de orquestração

Experiência com Feature Stores (Feast, Tecton)

Conhecimento em model serving frameworks (TorchServe, TensorFlow Serving, Triton)

Experiência com infraestrutura como código (Terraform, CloudFormation)

Familiaridade com práticas de DataOps e integração com times de Analytics Engineering

Conhecimento em segurança de modelos e AI adversarial

Certificações em cloud ou ML engineering

Required Skill Profession

Other General


  • Job Details

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