Senior Data Science Solutions Architect

Há 3 dias

Rio de Janeiro, Rio de Janeiro, Brasil beBeeMachineLearning Tempo inteiro R$90.000 - R$150.000
Machine Learning Engineer Job Description

We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will have expertise in building, deploying, and maintaining machine learning solutions that deliver measurable business impact.

  • Key Responsibilities:
  • Design, build, and deploy machine learning models using Python (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • 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.
  • Collaborate with product managers, data scientists, engineers, and business 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).

Preferred Skills:

  • Solid SQL skills and experience with data extraction/transformation.
  • Knowledge of modern data engineering tools (Airflow, Spark, dbt, Snowflake, or similar).

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