Applied AI Engineer

A Full Renovation – Project Services; United States; Remote; USD 105,000 - 115,000; Full time

Job summary

A Full Renovation – Project Services is seeking an Applied AI Engineer to support development and operation of AI or ML systems, including data preparation, model evaluation, integration, testing, monitoring, and documentation. Location: Remote – United States. Job Type: Full Time.

Salary: $105,000–$115,000 per year. You will build and maintain AI workflows, prepare datasets, evaluate models, monitor production behavior, and document experiments and deployment changes.

Qualifications

• Working knowledge of Python, Machine Learning, and Model Evaluation.
• Ability to apply AI Systems and Data Pipelines accurately in assigned work.
• Strong written communication, documentation, and attention to detail.
• Ability to organize priorities, follow defined procedures, and raise questions when source information is unclear.
• Comfort working independently and collaborating through shared digital tools in a remote environment.

Responsibilities

• Develop or support AI and machine-learning workflows using appropriate code, data, and model interfaces.
• Prepare and validate datasets used for experimentation, evaluation, or production workflows.
• Evaluate model and system outputs for accuracy, reliability, performance, and known failure modes.
• Support integration of models or AI services into repeatable application and data workflows.
• Monitor production behavior and investigate material changes, errors, or degraded performance.
• Document experiments, assumptions, evaluation results, deployment changes, and operational procedures.

Skills

Python

Machine Learning

Model Evaluation

Job description

About The Role

The Applied AI Engineer will support development and operation of AI or machine-learning systems through data preparation, model evaluation, integration, testing, monitoring, and technical documentation.

Location: Remote – United States

Job Type: Full Time

Salary: $105,000–$115,000 per year

Key Responsibilities

• Develop or support AI and machine-learning workflows using appropriate code, data, and model interfaces.
• Prepare and validate datasets used for experimentation, evaluation, or production workflows.
• Evaluate model and system outputs for accuracy, reliability, performance, and known failure modes.
• Support integration of models or AI services into repeatable application and data workflows.
• Monitor production behavior and investigate material changes, errors, or degraded performance.
• Document experiments, assumptions, evaluation results, deployment changes, and operational procedures.

Qualifications

• Working knowledge of Python, Machine Learning, and Model Evaluation.
• Ability to apply AI Systems and Data Pipelines accurately in assigned work.
• Strong written communication, documentation, and attention to detail.
• Ability to organize priorities, follow defined procedures, and raise questions when source information is unclear.
• Comfort working independently and collaborating through shared digital tools in a remote environment.