Senior AI/ML Engineer - Explainable, Forensics Tech (Remote)

EvidaraIQ; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

EvidaraIQ is seeking an early engineering hire to lead the development of machine learning systems for processing digital evidence, focusing on making automated results understandable, traceable, and auditable. You will help shape the technical architecture and build AI capabilities ahead of a planned product launch.

You will collaborate with forensics and legal specialists, develop models for document analysis and pattern recognition, create explainability features, and implement validation,

Qualifications

• At least five years developing machine learning systems for production use.
• Strong Python skills and experience with PyTorch, TensorFlow, or similar frameworks.
• Experience with explainable AI and model interpretability.
• A track record of deploying models and working with cloud platforms such as AWS, GCP, or Azure.
• Understanding of software engineering practices, version control, and model validation.
• Relevant bachelor’s degree or equivalent academic background; advanced study is preferred.
• Strong communication and problem-solving skills, with the ability to work independently in a remote, early-stage team.

Responsibilities

• Develop models for document analysis, evidence classification, and pattern recognition.
• Create explainability features that make model decisions clear and auditable.
• Build validation methods to assess model accuracy and defensibility.
• Work with forensics and legal specialists to translate practical needs into technical requirements.
• Establish documentation, audit trails, model versioning, monitoring, and performance tracking.
• Contribute to architecture, compliance planning, and code reviews.

Skills

Python

Explainable AI

Communication

Problem-solving

Independent work

Education

Bachelor’s degree or equivalent

Tools

PyTorch

TensorFlow

AWS

GCP

Azure

Job description

EvidaraIQ is seeking an early engineering hire to lead the development of machine learning systems for processing digital evidence, focusing on making automated results understandable, traceable, and auditable. You will help shape the technical architecture and build AI capabilities ahead of a planned product launch.

You will collaborate with forensics and legal specialists, develop models for document analysis and pattern recognition, create explainability features, and implement validation,