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Data Driven Predictive Modeling Engineer

2 semanas atrás

São Paulo, São Paulo, Brasil beBeeMachine Tempo inteiro R$1.000.000 - R$1.500.000
Job Description

As a machine learning engineer, you will play a crucial role in developing and deploying predictive models that drive business decisions. You will be responsible for designing and implementing algorithms that extract insights from large datasets, and communicating the results to stakeholders. This is a hands-on role that requires a strong foundation in math and statistics, as well as experience with machine learning libraries like scikit-learn or PyTorch.


Key Responsibilities
  • Design and develop predictive models using machine learning algorithms
  • Deploy models in production environments and monitor their performance
  • Collaborate with data scientists and engineers to integrate models into larger systems
  • Communicate complex technical ideas to non-technical stakeholders

Requirements
  • 4+ years of experience in software or machine learning engineering
  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • Strong background in math, statistics, and machine learning concepts
  • Experience with Python programming language and popular ML libraries

Preferred Qualifications
  • Experience with containerization (Docker) and cloud deployment
  • Exposure to real-time or low-latency systems
  • Interest in optimization of inference latency and resource usage

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

Job Function
  • Engineering and Information Technology

Industries
  • Software Development