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# AI ML - Senior Associate - Machine Learning Engineer

- **Company:** Hashu & Elias Tax & Accounting Inc
- **Location:** Auburn, AL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Database, Continuous Integration, Machine Learning, Azure Machine Learning, Chatbots, Large Language Models, Machine Learning Operations
- **Published:** September 7, 2026
- **Apply:** https://nlppeople.com/apply/fnzc

## About the Role

Strong software engineering fundamentalsPractical experience applying machine learning in real production systemsProficiency in Python and common ML librariesAbility to work across data, modelling, and software concernsDegree in engineering, computer science, applied mathematics, or a related fieldExperience with cloud-based data or ML platforms is a plusExperience building agentic solutions is advantageousFamiliarity with MLOps concepts - CI/CD for ML, monitoring, retraining - is beneficialFrontend or full-stack experience supporting AI tools is a plusBackground in regulated or industrial engineering environments is advantageous, Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, NLP, United States

## Description

Design and implement ML models using structured, time-series, and unstructured dataApply AI/ML techniques pragmatically to engineering, quality, and product use casesBuild production-ready AI systems including data pipelines, feature engineering, model training and inference services, and integration with downstream systemsDevelop agentic solutions combining LLMs and other systemsContribute to reusable AI/ML components and shared engineering frameworksWrite clean, maintainable, and testable Python codeOwn implementation tasks from design through deployment readinessWork closely with stakeholders to clarify requirements and iterate solutionsPrepare solutions for operationalisation in partnership with MLOps teamsDevelop lightweight front-end components or internal tools - dashboards, experimentation interfaces, or demonstration tools - where required


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