Data Driven AI Professional

Há 18 horas

Porto Alegre, Rio Grande do Sul, Brasil beBeeMachineLearning Tempo inteiro R$60.000 - R$90.000

About the Role

We are seeking a seasoned machine learning professional to drive predictive models from concept to production, focusing on building and deploying scalable AI solutions that deliver measurable business impact.

Key Responsibilities:

  • Model Development & Deployment – Design and deploy machine learning models using Python (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Time Series Forecasting – Apply advanced time series 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 ML 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.
  • Exploratory Data Analysis & Visualization – Analyze datasets and communicate findings through clear visualizations (Matplotlib, Seaborn, Plotly) to guide decision-making.
  • Collaboration – Work with product managers, data scientists, engineers, and business stakeholders to align ML solutions with real-world needs.

Required Skills & Qualifications:

  • 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).
  • Strong problem-solving and communication skills.

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