> Markdown version of [/jobs/ext/2268492-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2268492-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** XPEDIENT TECHNOLOGIES, LLC - **Location:** Austin, TX, United States - **Contract:** Permanent contract - **Skills:** Clean Code Principles, JavaScript (Programming Language), Airflow, Amazon Web Services, Artificial Neural Networks, Computer Vision, Microsoft Azure, Bash Shell, Cloud Computing, Computer Programming, Continuous Integration, Database Queries, Software Debugging, Text Processing, Github, Python (Programming Language), Machine Learning, Language Modeling, NumPy, Object Detection, Open Source Technology, Windows PowerShell, Recommender Systems, Tensorflow, SQL Databases, Data Processing, Scripting, Google Cloud, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Model Validation, Kaggle, Pandas, Containerization, Machine Learning Operations, Oracle Cloud Infrastructure, Docker, Unsupervised Learning, Jenkins - **Published:** August 27, 2026 - **Apply:** https://www.dice.com/job-detail/3b25744b-a7b5-4601-9ba1-69dc91956176 ## About the Role Core (Must Have) * Python - Strong programming skills, comfortable writing clean code beyond notebooks * ML Fundamentals - Solid understanding of machine learning concepts through coursework or personal projects * Supervised/unsupervised learning * Model evaluation and validation * Basic understanding of neural networks * Data Manipulation - Experience with Pandas, NumPy, or similar libraries * Version Control - Git basics (commit, push, pull, branches) * Problem Solving - Can debug issues and search for solutions independently * Communication - Can explain technical concepts clearly At Least One of These ML Areas * NLP/LLMs: Experience with transformers, text processing, or language models (even if just through projects) * Time Series: Forecasting, sequential data, or time-based analysis * Recommender Systems: Collaborative filtering or ranking (through projects/coursework) * Computer Vision: Image classification, object detection, or CNN projects * Classical ML: Strong foundation in scikit-learn, feature engineering, model selection Working Style * Self-starter - You don't wait to be told what to do; you ask questions and take initiative * Fast learner - Comfortable picking up new tools and technologies quickly * CLI-comfortable - Not afraid of the terminal (we can teach you more advanced usage) * Curious - Genuinely interested in how things work under the hood * Collaborative - Can work with a team and ask for help when stuck Nice to Have * Cloud Experience: Any exposure to AWS, Azure, Google Cloud Platform, or OCI * Docker/Containers: Basic understanding of containerization * SQL: Database querying experience * CI/CD: Familiarity with GitHub Actions, Azure DevOps, or Jenkins * MLOps Tools: Exposure to MLflow, Weights & Biases, or Airflow * Bash/PowerShell: Basic scripting skills * Deep Learning Frameworks: PyTorch or TensorFlow experience * Kaggle Competitions: Participated in ML competitions * Open Source: Contributions to projects or active GitHub profile * Additional Languages: Any experience with Go, Rust, or JavaScript ## Related Videos - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Search and aggregations made easy with OpenSearch and NodeJS](https://www.wearedevelopers.com/videos/490-search-and-aggregations-made-easy-with-opensearch-and-nodejs) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)