Remote ML Engineer: Build, Deploy & Document AI Workflows

Codevertex Innovations; United States; 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

Develop applied machine-learning workflows from experimentation through deployment and monitoring.

CodeVertex works across data-heavy and process-heavy business environments where reporting accuracy, workflow visibility, secure systems, and operational clarity matter. The Machine Learning Engineer role helps turn business needs into reliable execution, whether through analysis, systems work, documentation, technical delivery, or process ownership.

What you will work on

• Business or technical workflows connected to finance, SaaS, e-commerce, AI, data, or internal operations.
• Structured analysis, documentation, systems improvement, or platform work depending on role scope.
• Cross-functional requests from engineering, analytics, product, finance, operations, or leadership stakeholders.
• Work that requires clear communication, accuracy, and reliable follow-through in a remote environment.

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.

Required qualifications

• 4+ years of relevant professional experience.
• Strong practical experience with Machine Learning, Python, MLOps, Data Science, 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.

Preferred qualifications

• Experience supporting finance, SaaS, e-commerce, AI, analytics, cloud, or process-heavy business environments.
• Experience working with distributed teams and asynchronous workflows.
• Ability to document process clearly and work well across multiple stakeholder groups.

Compensation and benefits

• Base salary range: $140,000 – $195,000 annually
• Cross-functional exposure across business and technical teams
• Structured, documentation-focused operating environment

Hiring process

After applying, candidates may be asked to complete additional application-process steps depending on the role family, access level, and review requirements. The application status page will provide next-step instructions after submission.

Due to the nature of some CodeVertex roles — including potential access to internal systems, business data, financial workflows, customer-impacting processes, or sensitive operational information — certain positions may include additional process steps during review. #LI-DNP #LI-Remote