Senior Machine Learning Engineer

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

📋 Description

• Design, construct, and implement comprehensive machine learning models utilizing proprietary datasets.

• Manage the entire ML lifecycle, encompassing data preparation, feature engineering, model training, evaluation, and validation.

• Collaborate with Data Scientists to discover and prioritize impactful ML opportunities.

• Partner with Principal AI Engineers to ensure models are compatible with system architecture and adhere to engineering best practices.

• Package and expose trained models as scalable APIs for use by AI Engineers and downstream systems.

• Develop and sustain model pipelines, including versioning, retraining, and workflows for continuous improvement.

• Monitor model performance in production to maintain accuracy, reliability, and relevance over time.

• Address issues related to model drift, data quality, and performance bottlenecks.

⛳️ Requirements

• Extensive experience in machine learning engineering, particularly in production deployment.

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Experience in data preprocessing, feature engineering, and model evaluation methodologies.

• Practical experience in deploying ML models as APIs or microservices.

• Familiarity with MLOps practices, including model versioning, monitoring, and retraining processes.

• Experience with large-scale or proprietary datasets.

• Strong foundation in software engineering principles (testing, scalability, performance optimization).

• Capability to work collaboratively with cross-functional teams.

🏝️ Benefits

• Accommodations within reason due to a disability or medical need are available upon request for candidates participating in the recruitment process.