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# Machine Learning Engg

- **Company:** American CyberSystems
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Elasticsearch, Fraud Prevention and Detection, Monitoring of Systems, Python (Programming Language), Machine Learning, OpenShift, Azure Machine Learning, Search Technologies, Software Engineering, Large Language Models, Multi-Agent Systems, Generative AI, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents, Docker, Databricks, Microservices
- **Published:** July 17, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1020899&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
 * 5+ years of software engineering experience.
 * 3+ years of hands-on Machine Learning engineering experience.
 * 2+ years of enterprise experience developing Generative AI or Agentic AI solutions.
 * Proven experience deploying AI/ML models into production environments.

## Description

We are seeking an experienced Senior AI/ML Engineer with strong expertise in Agentic AI, Generative AI, Machine Learning, and MLOps to design, develop, and deploy enterprise-scale AI solutions. The ideal candidate will have hands-on experience building autonomous AI agents, developing production-ready machine learning models, implementing Retrieval-Augmented Generation (RAG) architectures, and deploying AI applications in cloud-native environments.
This role requires deep technical expertise in Python, modern AI frameworks, LLMs, cloud platforms, and production AI engineering., * Design and develop autonomous AI agents using LangGraph, LangChain, CrewAI, Microsoft AutoGen, and Semantic Kernel.

 * Build multi-agent orchestration workflows with agent memory, planning, tool calling, and reasoning capabilities.
 * Develop and optimize machine learning models for fraud detection, authentication risk scoring, user behavior analytics, and anomaly detection.
 * Build enterprise Generative AI applications using OpenAI, Azure OpenAI, Anthropic Claude, Llama, and Mistral.
 * Design and implement Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone, Azure AI Search, ChromaDB, Weaviate, and Elasticsearch.
 * Fine-tune foundation models and optimize prompts for enterprise AI use cases.
 * Deploy AI/ML solutions into production using Docker, Kubernetes/OpenShift, Azure ML, AWS SageMaker, or Databricks.
 * Build scalable APIs and AI microservices.
 * Develop CI/CD pipelines, model monitoring, drift detection, and automated retraining workflows.
 * Collaborate with cross-functional teams to deliver secure, scalable, and cloud-native AI platforms.
 * Ensure AI solutions comply with enterprise security, governance, and regulatory standards.


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