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# Machine Learning Engineer (Agentic AI Engineer)

- **Company:** Stellar Consulting Solutions
- **Location:** United States (Remote available)
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Artificial Neural Networks, Microsoft Azure, BigQuery, Continuous Integration, DevOps, R (Programming Language), Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Google Cloud, Pytorch, Retrieval-Augmented Generation, Large Language Models, Keras, Kubernetes, Machine Learning Operations, Virtual Agents, Cloud Integration, Docker, Unsupervised Learning
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/28906d38-9d43-430d-9b00-4a8d0cc1ef1f

## About the Role

Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP). Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps practices is also necessary to streamline model deployment and management processes. This role involves leveraging these skills to develop, deploy, and optimize machine learning models for various applications.

Mandatory Skills

 * Google Cloud Platform (Google Cloud Platform) Mandatory and top priority
 * Strong hands-on experience with Python
 * Basic understanding of APIs
 * Experience with BigQuery
 * Exposure to AI SDKs
 * Hands-on experience with LLMs, RAG (Retrieval-Augmented Generation), vector databases, and memory layers
 * Exposure to Docker, GKE (Google Kubernetes Engine), and CI/CD
 * AlloyDB experience is a plus

Nice-to-Have Skills

 * Strong Java experience
 * Experience with cross-cloud integration (Azure to Google Cloud Platform)
 * Machine Learning knowledge is beneficial; however, the immediate focus is on building AI agents, not developing ML models.



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