Machine Learning Systems Specialist

Há 2 dias

São Paulo, São Paulo, Brasil beBeeMachine Tempo inteiro R$60.000 - R$96.000
Job Overview

We are seeking a skilled Machine Learning Engineer to bridge the gap between data science and production systems. The ideal candidate will own end-to-end deployment of machine learning models, work with real-time sensor data, and build reliable services that power diagnostics for industrial equipment.

About the Role

This is a hands-on role with real impact, ideal for engineers who want to grow their systems design and ML Ops skills. You will be responsible for deploying and maintaining ML models from the data science team, designing and implementing APIs and real-time inference services, working with large-scale time-series datasets from vibration and sensor systems, improving the performance and reliability of model serving pipelines, monitoring system health and implementing logging, alerting, and fallback mechanisms, and contributing to architectural decisions and collaborating across teams.

Key Responsibilities
  • Deploy and maintain ML models
  • Design and implement APIs and real-time inference services
  • Work with large-scale time-series datasets
  • Improve model serving pipelines
  • Monitor system health and implement logging and alerting
Requirements
  • 2–4 years of experience in software or machine learning engineering
  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • Solid background in math, statistics, and machine learning concepts
  • Strong Python skills and experience with ML libraries like scikit-learn or PyTorch
  • Experience deploying models in production environments
Preferred Qualifications
  • Experience with containerization and cloud deployment
  • Exposure to real-time or low-latency systems
Technical Skills
  • Programming: Python, Golang
  • ML Libraries: scikit-learn, PyTorch, TensorFlow
  • Backend: FastAPI, Flask
  • Infrastructure: Kafka, Redis, PostgreSQL, Docker
  • ML Ops: Model serving, monitoring, CI/CD pipelines
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Industry
  • Software Development

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