Senior AI/ML Engineer

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

Role overview

Lead the development of machine learning systems for processing digital evidence, with a focus on making automated results understandable, traceable, and suitable for scrutiny. As an early engineering hire, you’ll help shape the technical architecture and build the AI capabilities ahead of a planned product launch.

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.

Requirements

• 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.

Nice to have

• Background in legal technology, e-discovery, digital forensics, or regulated fields.
• Experience with NLP, document extraction, computer vision, or MLOps.
• Knowledge of evidence handling, chain of custody, AI ethics, or bias mitigation.
• Relevant research publications.