Senior Data Scientist/Machine Learning Architect

Há 14 horas

Recife, Pernambuco, Brasil beBeeMachineLearning Tempo inteiro R$80.000 - R$150.000
Machine Learning Engineer

About the Role

We are seeking a skilled professional to develop and deploy predictive models that drive business impact.

Key Responsibilities:

  • Model Development & Deployment – Design, build, and deploy machine learning models using Python libraries (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Time Series Forecasting – Apply advanced techniques (ARIMA, SARIMA, Prophet, LSTM/RNNs) to forecast and model temporal data.
  • MLOps – Build and manage ML pipelines for training, validation, deployment, and monitoring using tools like MLflow, Kubeflow, or cloud-based services.
  • Model Monitoring & Optimization – Track performance, detect drift or bias, and iterate on models to improve accuracy, reliability, and scalability.
  • Feature Engineering – Develop and select impactful features, especially for time series and structured datasets.
  • Data Analysis & Visualization – Analyze datasets and communicate findings through clear visualizations to guide decision-making.
  • Collaboration – Work with product managers, data scientists, engineers, and stakeholders to align ML solutions with real-world needs.

Required Skills:

  • Advanced Python programming for ML (Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch).
  • Strong understanding of supervised, unsupervised, and deep learning techniques.
  • Expertise in time series forecasting and handling temporal data.
  • Experience with MLOps practices for production-scale deployments.
  • Familiarity with cloud ML services (AWS SageMaker, Azure ML, Google Cloud AI Platform).

Benefits Include:

  • A competitive salary and bonus structure.
  • Ongoing professional development and growth opportunities.
  • A collaborative and dynamic work environment.

Join our team and embark on an exciting journey of innovation and discovery. Contribute your expertise and passion to help shape the future of machine learning engineering.

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