Remote ML Engineer - Shape Next-Gen AI Models

EVB; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive package

Job summary

EVB is partnering with a venture-backed AI company to shape the next generation of intelligent systems. This role engages ML Engineers to train and improve models through high-quality, real-world input.

You will design and refine models in Python, analyze data with MongoDB, collaborate across teams, evaluate performance, document findings, and deliver actionable insights for real-world deployments.

Qualifications

• Proficient in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Hands-on MongoDB experience in ML projects.
• Strong problem-solving and ability to deliver innovative ML solutions.
• Knowledge of model evaluation metrics and feature engineering.
• Experience deploying ML models in cloud/enterprise environments.
• Clear written communication of technical findings.

Responsibilities

• Design, develop, and refine ML models using Python for project objectives.
• Analyze data with MongoDB to support model training and validation.
• Collaborate across teams to identify improvements and implement solutions.
• Evaluate models, tune hyperparameters, and benchmark performance.
• Document methodologies and results for repeatable workflows.
• Integrate data pipelines for training and inference.
• Deliver data-driven insights and recommendations.

Skills

Python

scikit-learn

TensorFlow

PyTorch

Hyperparameter tuning

Data preprocessing

Tools

MongoDB

Job description

EVB is partnering with a venture-backed AI company to shape the next generation of intelligent systems. This role engages ML Engineers to train and improve models through high-quality, real-world input.

You will design and refine models in Python, analyze data with MongoDB, collaborate across teams, evaluate performance, document findings, and deliver actionable insights for real-world deployments.