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# Machine Learning Engineer (Pittsburgh, PA/Strongsville, OH/ Dallas TX)

- **Company:** Ventures Unlimited
- **Location:** Pittsburgh, PA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Engineering, Computer Programming, Continuous Integration, Github, Monitoring of Systems, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Azure Machine Learning, Enterprise Application Integration, Google Cloud, Large Language Models, Generative AI, Agentic-AI, Git, Kubernetes, Machine Learning Operations, Azure AI, Restful APIs, Software Version Control, Data Pipelines, Automation Anywhere, Docker, Jenkins, Microservices
- **Published:** November 12, 2026
- **Apply:** https://www.thejobnetwork.com/job/f07ea98e-9897-45c4-95fd-b9c74a751e3f/machine-learning-engineer-pittsburgh-pastrongsville-oh-dallas-tx

## About the Role

* Strong hands-on experience in Machine Learning, Artificial Intelligence, and Generative AI development.
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 * Proven experience implementing AI/ML solutions in production environments.
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 * Hands-on experience working with Large Language Models (LLMs) and Generative AI applications.
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 * Experience developing agentic AI solutions and multi-step AI workflows.
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 * Strong programming skills in Python, including development of APIs, services, and ML/AI pipelines.
\n, * Experience working with REST APIs, microservices, data pipelines, and enterprise integration patterns.
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 * Understanding of MLOps/LLMOps, CI/CD pipelines, automated testing, version control, deployment, and model monitoring.
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 * Experience with Git, Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps, or comparable SDLC technologies.
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 * Knowledge of cloud-based AI/ML platforms such as Microsoft Azure/Azure AI, AWS/SageMaker/Bedrock, or Google Cloud/Vertex AI.
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 * Experience designing AI/ML solutions within model governance, model risk management, security, privacy, and regulatory frameworks.
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 * Strong analytical and troubleshooting skills for supporting models and AI applications in production.
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 * Strong communication and stakeholder-management skills, with the ability to work directly with internal clients to collect requirements and translate them into technical solutions.