> Markdown version of [/jobs/ext/2027839-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2027839-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:** TechniPros, LLC
- **Location:** Fairfax, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Graph Database, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Standard Sql, Azure Machine Learning, Software Engineering, Enterprise Software Applications, Pytorch, Large Language Models, Snowflake, Apache Spark, Generative AI, Git, Pyspark, Scikit Learn, Kubernetes, HuggingFace, Machine Learning Operations, Docker, Databricks
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/8c862fd8-9ddd-40ba-a972-33ec9a91585b

## About the Role

* 8+ years of AI/ML engineering experience.
 * Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
 * Experience with LLMs, Generative AI, RAG, LangChain, and Vector Databases.
 * Knowledge of AWS or Azure AI/ML Services.
 * Experience with Docker, Kubernetes, Git, and CI/CD.
 * Strong SQL and data engineering fundamentals.

Preferred Skills

 * MLOps use MLflow or Kubeflow.
 * Apache Spark or PySpark.
 * Hugging Face Transformers.
 * Databricks and Snowflake.
 * Knowledge Graphs and Graph Databases.
 * Excellent communication and problem-solving skills.

## Description

* Design, develop, and deploy AI/ML models for enterprise applications.
 * Build scalable machine learning pipelines and data preprocessing workflows.
 * Develop and optimize LLM, NLP, and Generative AI solutions.
 * Integrate AI models with cloud platforms and production systems.
 * Monitor model performance, retrain models, and improve accuracy.
 * Collaborate with Data Engineers, Data Scientists, and software development teams.


## Related Videos

- [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)

## 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 Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [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)