Machine Learning Engineer

Responsibilities

• Design, develop, and refine machine learning models using Python and relevant libraries to address project objectives
• Analyze large datasets and leverage MongoDB to manage and retrieve data efficiently for model training and validation
• Collaborate with cross-functional contributors to identify areas for model improvement and implement robust solutions
• Conduct thorough model evaluation, tuning hyperparameters, and benchmarking results to ensure optimal performance
• Document methodologies, experiments, and outcomes to ensure transparent and repeatable workflows
• Integrate data pipelines and preprocessing workflows to streamline training and inference processes
• Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes

Requirements

• Demonstrated expertise with Python, including deep familiarity with machine learning frameworks such asscikit-learn, TensorFlow, or PyTorch
• Hands-on experience with MongoDB for data manipulation, storage, and retrieval within machine learning projects
• Strong problem-solving skills and a track record of delivering innovative ML solutions in real-world settings
• Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques
• Background in deploying or operationalizing machine learning models in cloud or enterprise environments
• Clear written documentation and communication skills for sharing technical findings and best practices
• Ability to adapt quickly to evolving project requirements and contribute collaboratively in a remote setting

About the Company

EVB is a venture-backed AI company helping shape the next generation of intelligent systems by combining human expertise with advanced machine learning workflows. Backed by more than $40 million in funding, the organization is building critical human intelligence infrastructure for the AI economy.