Remote ML Engineer: Build, Deploy & Document AI Workflows

Codevertex Innovations; Northern (KY); Hybrid; USD 140,000 - 195,000; Full time

Benefits offered by this job

Remote work

Structured documentation-focused env

Competitive salary

Job summary

CodeVertex Innovations seeks a Machine Learning Engineer to develop applied ML workflows from experimentation through deployment and monitoring, turning business needs into reliable execution across finance, SaaS, e-commerce, data, or internal operations.

You will own workstreams from discovery to delivery, communicate clearly in writing, and maintain high documentation standards in a remote, documentation-heavy environment. A strong 4+ year background in ML is expected.

Qualifications

• 4+ years of relevant professional experience.
• Strong practical experience with Machine Learning, Python, MLOps, Data Science, and TensorFlow.
• Ability to work remotely with ownership, judgment, and clear written communication.
• Comfortable working in documentation-heavy technical or business environments.
• Strong problem-solving ability and professional judgment.

Responsibilities

• Own meaningful workstreams from discovery through execution, documentation, testing, and handoff.
• Translate business needs into practical analysis, systems work, operating procedures, or technical execution plans.
• Maintain high standards for written communication, documentation quality, and process clarity.
• Use evidence, structure, and judgment to improve quality, reliability, and decision-making.
• Handle confidential internal information with appropriate professionalism and care.

Skills

Machine Learning

Python

MLOps

Data Science

TensorFlow

Job description

CodeVertex Innovations seeks a Machine Learning Engineer to develop applied ML workflows from experimentation through deployment and monitoring, turning business needs into reliable execution across finance, SaaS, e-commerce, data, or internal operations.

You will own workstreams from discovery to delivery, communicate clearly in writing, and maintain high documentation standards in a remote, documentation-heavy environment. A strong 4+ year background in ML is expected.