Machine Learning Engineer - (Inmobiliaria Comercial) - (Python, TensorFlow, MLOps)

Option is seeking a Machine Learning Engineer to design and deploy scalable AI solutions. The role involves building, training, and validating ML models, integrating them into production, and optimizing infrastructure. The position is fully remote and open to worldwide candidates.

• Develop ML model architectures (e.g., deep neural networks) and train/evaluate them on large datasets.
• Integrate trained models into existing systems and ensure efficient, scalable execution.
• Prepare and process data pipelines for continuous training and retraining.
• Monitor model performance, detect drift, and retrain algorithms to maintain accuracy.
• Optimize cloud infrastructure for scalability and cost-efficiency (AWS, Docker, Kubernetes).

• Degree in Computer Science, Mathematics, or related field; Master's in AI/ML preferred.
• Several years of experience building and deploying ML/AI models in production.
• Proficiency in Python and ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Experience with data manipulation (Pandas, SQL) and big data tools (Spark).
• Strong MLOps practices: automation, versioning, monitoring, and cloud deployment.