Senior Machine Learning Engineer – MLOps, TensorFlow

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Design and sustain large-scale distributed machine learning systems utilizing frameworks such as TensorFlow, PyTorch, and Scikit-Learn.

• Create predictive models, including churn prediction, user journey analysis, and sales forecasting, leveraging behavioral data.

• Engage with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting methods.

• Partner with business units to identify and understand their machine learning requirements.

• Enhance feature extraction, transformation, and selection while overseeing Feature Stores to ensure reusability across machine learning pipelines.

• Maintain a strong emphasis on MLOps practices, including model training, versioning, monitoring, and deployment through CI/CD pipelines, Docker, Kubernetes, Airflow, SageMaker, and MLflow.

• Guarantee the scalability, reliability, cost-effectiveness, and user-friendliness of the machine learning platform while ensuring model observability and aligning outcomes with product and strategic objectives.

⛳️ Requirements

• Over 5 years of experience in Machine Learning Engineering, specifically in building production ML systems.

• Strong expertise in supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting.

• Proficient in developing models for churn prediction, user journey analysis, and sales forecasting using behavioral data.

• Advanced skills with TensorFlow, PyTorch, or Scikit-Learn for model development.

• Experienced in model training, versioning, deployment, and monitoring within a production environment.

• Solid understanding of CI/CD pipelines, Docker, Kubernetes, Apache Airflow, AWS SageMaker, MLflow, and tools for model observability.

• Familiarity with feature stores and optimizing feature extraction, transformation, and selection.

• Capable of developing large-scale distributed machine learning systems that are scalable, efficient, and dependable.

• Ability to link model outcomes to product objectives and overarching business goals.

• Experience collaborating with business units and cross-functional teams to implement and integrate machine learning models.

• Proficient in English (mandatory).

🏝️ Benefits

• Health insurance.

• Professional development.