> Markdown version of [/jobs/ext/2642067-enterprise-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2642067-enterprise-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).

---

# Enterprise AI/ML Engineer

- **Company:** TechniPros, LLC
- **Location:** Columbia, SC, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Python (Programming Language), Machine Learning, Recommender Systems, Power BI, Tensorflow, Standard Sql, Azure Machine Learning, Feature Engineering, Pytorch, Large Language Models, Snowflake, Deep Learning, Git, Fastapi, AI Platforms, Scikit Learn, Kubernetes, Restful APIs, Docker, Databricks, Microservices
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/969c3320-d725-477a-b610-cf32f730289c

## About the Role

* Python
 * SQL
 * Machine Learning
 * Data Science
 * Predictive Analytics
 * Deep Learning
 * Scikit-learn
 * TensorFlow
 * PyTorch
 * FastAPI
 * REST APIs
 * Kubernetes
 * Docker
 * Azure ML
 * Power BI
 * Git

Preferred Skills

 * Snowflake
 * Databricks
 * Feature Engineering
 * AI Monitoring
 * Responsible AI
 * Financial Services Domain

Mandatory Skills

 * Python
 * SQL
 * Machine Learning
 * Data Science
 * Predictive Analytics
 * TensorFlow
 * PyTorch
 * Azure ML
 * Power BI
 * FastAPI
 * Kubernetes
 * Docker

## Description

We are looking for an Enterprise AI/ML Engineer to develop intelligent business solutions using Machine Learning, Data Science, LLMs, predictive analytics, and enterprise AI integration. The ideal candidate will have experience building scalable AI platforms and deploying production-ready ML applications., * Develop production Machine Learning models.

 * Build enterprise AI applications.
 * Design predictive analytics solutions.
 * Develop feature engineering pipelines.
 * Implement AI APIs and microservices.
 * Build recommendation engines and forecasting models.
 * Deploy ML workloads using Kubernetes.
 * Monitor models and AI services.
 * Build dashboards using Power BI.
 * Support AI governance initiatives.


## Related Videos

- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi)
- [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)
- [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [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)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)