Remote ML Engineer: Train Next-Gen AI Systems

EVB; United States; Remote; USD 110,000 - 165,000; Full time

Job summary

EVB is seeking a Machine Learning Engineer contractor to design, build, and refine ML models remotely. You will work with Python and popular ML frameworks to train and validate models, analyzing large datasets with MongoDB, and collaborating with cross-functional teams to drive model improvements and reliable deployment.

The role emphasizes high-quality documentation, reproducible experiments, and the ability to adapt to evolving project needs in a remote setting.

Qualifications

• Proven ML development experience with Python and ML libraries.
• Experience deploying models in cloud/enterprise environments.
• Strong documentation and communication skills.

Responsibilities

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

Skills

Python

scikit-learn

TensorFlow

PyTorch

MongoDB

Tools

MongoDB

Job description

EVB is seeking a Machine Learning Engineer contractor to design, build, and refine ML models remotely. You will work with Python and popular ML frameworks to train and validate models, analyzing large datasets with MongoDB, and collaborating with cross-functional teams to drive model improvements and reliable deployment.

The role emphasizes high-quality documentation, reproducible experiments, and the ability to adapt to evolving project needs in a remote setting.