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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Bespoke Technologies, Inc. - **Location:** McLean, VA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, Cloud Computing, Data Files, Extract Transform Load (ETL), Data Mining, Data Visualization, Github, Information Retrieval, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Language Modeling, Motion Planning, Open Source Technology, Raw Data, Recommender Systems, Tensorflow, Search Technologies, Sentiment Analysis, Verification and Validation (Software), SQL Databases, Tableau (Software), Reinforcement Learning, Graphics Processing Unit (GPU), Pytorch, Transfer Learning, Flask (Web Framework), Large Language Models, Deep Learning, Software Application Programming, Topic Modeling, Generative AI, Keras, Scikit Learn, ONNX (Open Neural Network Exchange) Format, HuggingFace, Document Classification, Recurrent Neural Networks, Jenkins - **Published:** September 22, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9185191/machine-learning-engineer ## About the Role * Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases. * Demonstrated professional or academic experience developing models and ensembles in the AI/ML space, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance. * Demonstrated professional or academic experience using Python or R. * Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. * Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries. * Demonstrated professional or academic experience with version control systems such as Github and Jenkins. * Demonstrated experience leveraging GPUs for accelerated computing. Highly Desired Skills and Demonstrated Experience * Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. * Demonstrated experience with cloud computing development and architecture. * Demonstrated experience with front-end web development frameworks such as Flask. * Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models. * Demonstrated experience developing applications for semantic search. * Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards. * Demonstrated academic or professional experience communicating methodological choices and model results. * Demonstrated experience with verification and validation test benches. * Demonstrated experience with Explainable AI (XAI) techniques. * Demonstrated experience with ONNX (Open Neural Net Exchange). ## Description * The Candidate shall work closely with the Sponsor's data scientists and technical team to implement requirements; however, the Sponsor's GTM will manage the priorities. * The Candidate shall leverage open source best-in-class models to create new models-through fine tuning, transfer learning, and more- and ensembles that can be re-purposed and reused, covering the following domains: o Classification o Supervised (CNN, Unet, YOLO, or similar) o Unsupervised (DBSCAN, K-Nearest, Adaboost, or similar) o Prediction o Predictors (LSTM, UConv, or similar) o Regressors (Bayesian, linear, or similar) o Fusion (sensor level and entity level) o Decision making (Task assignments, combinational and parametric optimizations, Reinforcement Learning, Path Planning, or similar) o Generative (LLMs, Stackable LLMs, or similar) o Machine Learning, AI, Deep Learning (TensorFlow, PyTorch), Text, (Classification, NLP, Topic and Language Modeling, Sentiment Analysis, Information Retrieval), Recommender Systems and Personalization, Threat Detection, Computer Vision, Data Mining, Statistics, or similar. * The Candidate shall analyze large amounts of raw data, including text data, to determine utility for training or testing AI models. * The Candidate shall preprocess or clean structured and unstructured Sponsor data, including text data. * The Candidate shall design and implement advanced ETL code and table configurations for complex data sets. * The Candidate shall use Structured Query Language (SQL) to develop and organize relevant information. * The Candidate shall in cooperation with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor's templates, and document methods in Github. * The Candidate shall implement the Sponsor's existing coordination process. * The Candidate shall provide technical education to staff on an ad-hoc basis. * The Candidate shall provide subject matter expertise in AI/ML to support Sponsor's initiatives. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)