Artificial Intelligence Engineer

Há 2 dias

Salvador, Bahia, Brasil beBeeMachine Tempo inteiro
Job Overview

We are seeking a seasoned professional with expertise in Machine Learning Engineering to drive predictive model development and deployment from concept to production. The ideal candidate will be responsible for designing, building, and deploying machine learning models using Python (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).

Key Responsibilities:
  • Design, build, and deploy machine learning models.
  • Apply advanced time series techniques (ARIMA, SARIMA, Prophet, LSTM/RNNs) to forecast and model temporal data.
  • Build and manage ML pipelines for training, validation, deployment, and monitoring using tools like MLflow, Kubeflow, or cloud-based ML services.
  • Track performance, detect drift or bias, and iterate on models to improve accuracy, reliability, and scalability.
  • Develop and select impactful features, especially for time series and structured datasets.
  • Analyze datasets and communicate findings through clear visualizations (Matplotlib, Seaborn, Plotly) to guide decision-making.
  • Work with product managers, data scientists, engineers, and business stakeholders to align ML solutions with real-world needs.
Required Skills:
  • Advanced Python programming for ML.
  • 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.
Preferred Qualifications:
  • Solid SQL skills and experience with data extraction/transformation.
  • Knowledge of modern data engineering tools (Airflow, Spark, dbt, Snowflake, or similar).
  • Experience with CI/CD for ML workflows.

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