Senior Applied ML Engineer - Document Intelligence

AthenaWorks LLC; México; Hybrid; MXN 700,000 - 1,100,000; Full time

Benefits offered by this job

USD or local currency payment

Flexible work schedule

Holiday and performance bonuses

Excellent paid time off policy

Udemy courses (4 per year)

Wellness membership

Opportunity to help create change in行业

And more!

Job summary

AthenaWorks LLC in Mexico seeks a senior applied machine learning engineer to design and deliver automation for large-scale document review with privacy and compliance in mind.

You will build clustering, embedding, and pattern-discovery pipelines, apply ML, CV, and NLP to transform unstructured data into actionable insights, and ensure production-grade reliability with explainability.

Qualifications

• Strong background in applied machine learning with real-world production deployments.
• Hands-on experience with document analysis, classification, or document understanding systems.
• Proficiency in computer vision techniques for layout analysis, object detection, and region identification.
• Solid grounding in text processing and natural language techniques for entity detection, pattern recognition, and content classification.
• Experience working with noisy or imperfect inputs such as scanned documents, OCR output, or legacy data.
• Ability to translate ambiguous business or compliance requirements into measurable technical outcomes.
• Strong software engineering skills, including versioned deployments, testing, and maintainability of ML systems.
• Comfort working with large datasets and iterating on models based on empirical results rather than theoretical perfection.

Responsibilities

• Analyze large document collection to detect trends, anomalies, and emergent patterns that inform automation strategy and compliance workflows.
• Design and implement machine learning solutions that analyze scanned and born-digital documents to support automated privacy and compliance decisions.
• Leverage existing structured signals (such as spatial coordinates, annotations, and metadata) to discover repeatable document patterns and reusable automation opportunities.
• Develop classification and detection models that improve document understanding, including content type recognition and metadata validation.
• Apply computer vision techniques to locate visually significant elements within documents, such as signatures, forms, images, or sensitive regions.
• Build and tune text-based models to identify and interpret sensitive information across diverse document formats and quality levels.
• Create decisioning logic that distinguishes between documents requiring review and those eligible for automated pass-through.
• Integrate models and services into production-grade pipelines with attention to performance, scale, auditability, and failure handling.
• Collaborate closely with platform, data, and domain experts to ensure solutions align with operational realities and regulatory expectations.
• Monitor, evaluate, and continuously improve model performance using real-world feedback and downstream outcomes.

Skills

Applied machine learning

Document analysis

Computer vision

Natural language processing

Production deployments

OCR/noisy data handling

Model evaluation

Software engineering

Job description

AthenaWorks LLC in Mexico seeks a senior applied machine learning engineer to design and deliver automation for large-scale document review with privacy and compliance in mind.

You will build clustering, embedding, and pattern-discovery pipelines, apply ML, CV, and NLP to transform unstructured data into actionable insights, and ensure production-grade reliability with explainability.