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AI​/ML Developer

Job in Chevy Chase, Montgomery County, Maryland, 20815, USA
Listing for: Apptad Inc
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Job Title: AI/ML Developer

Location: Chevy Chase, MD ( 3 Days onsite)

Duration: 3+ Months

Summary

We are seeking an experienced AI/ML developer to work alongside our Principal AI Architect on active

machine-learning projects. This is a hands-on, individual-contributor role for someone who can pick up existing work, get it production-ready, and work independently with minimal ramp-up. The work is Python- based in a Linux environment.

The Project - Application Triage (ML Classification)

Pick up an in-progress text-classification effort and take it to production. Existing datasets and several models (SVM, Set Fit, GenAI for sentence classification) are already built.

Scope

Review and verify our existing code; identify and fix problems.

Harden the models and pipeline for production.

Apply sound evaluation methodology - precision/recall on imbalanced data, proper train/eval

separation.

Conduct applied R&D - read relevant research, try open-source projects, evaluate results, and present findings to business users on how well different approaches meet their needs. A near-term goal is evaluating algorithms for assessing a paper's innovation, transformativeness, scientific rigor, and impact. This work is guided by the Principal AI Architect.

Required

Strong applied experience with both traditional machine learning and deep learning for text

classification.

Solid grasp of model evaluation methods and their common pitfalls.

Able to read, debug, and improve existing ML code independently.

Comfortable doing applied research - reading papers, trying open-source tools, and evaluating them - and clearly presenting results to non-technical business users.

Additional Requirements

Proficient in Python; comfortable working in a Linux environment.

Able to work independently on well-scoped tasks with minimal supervision.

Production-minded - writes maintainable, testable code, not just notebooks.

Nice to Have

Microsoft Azure/AWS

Containerization (Docker / Kubernetes).

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