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# Senior Machine Learning Engineer (ML Modeling, NLP, Python)

- **Company:** Milestone Technologies, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $187,200.0
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Cloud Database, Data Cleansing, Database Queries, Digital Content, Python (Programming Language), Machine Learning, Natural Language Processing, Data Streaming, Feature Engineering, Random Forest, Model Validation, Pandas, Scikit Learn, Information Technology, Luigi, Feature Selection
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/e6964ca7-f82e-4b91-9133-6ce68b4674f3/senior-machine-learning-engineer-ml-modeling-nlp-python

## About the Role

This is a highly hands-on role requiring strong applied machine learning expertise, proficiency in Python and modern data science tools, and the ability to independently take solutions from data exploration and feature development through model evaluation and implementation., * 5+ years of industry experience building and deploying machine learning models in production environments.
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 * Strong proficiency in Python, with hands-on experience using pandas and scikit-learn for data preparation and machine learning.
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 * Strong understanding of supervised machine learning and classification techniques, including linear models, decision trees, random forests, ensemble methods, and gradient-boosted models.
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 * Strong experience with feature engineering, feature preprocessing, and feature selection for structured and semi-structured datasets.
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 * Experience developing multi-class and/or multi-label classification models.
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 * Strong SQL skills and experience querying, joining, aggregating, and analyzing large datasets.
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 * Ability to independently move from exploratory data analysis and feature development through model training, evaluation, and implementation.
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 * Strong analytical and problem-solving skills, with the ability to make pragmatic modeling decisions based on data, project requirements, and delivery constraints.
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 * Strong written and verbal communication skills, with the ability to clearly explain technical approaches and results to technical and non-technical stakeholders.
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 * Ability to operate effectively in a fast-paced environment, ramp up quickly on existing data and code, and independently deliver within a project-based contract engagement.
\n, * Experience developing classifiers from metadata, catalog data, or other high- dimensional structured and semi-structured datasets.
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 * Experience incorporating text-based features using techniques such as TF-IDF, text embeddings, or other semantic representations.
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 * Experience working with media, entertainment, streaming, search, recommendation, or other digital content domains.
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 * Familiarity with workflow orchestration tools such as Luigi, Airflow, or similar frameworks.
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 * Experience with cloud-based data and compute environments, particularly AWS.
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Education

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Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience; Master's degree preferred