> Markdown version of [/jobs/ext/4545217-aiml-engineer](https://www.wearedevelopers.com/jobs/ext/4545217-aiml-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). --- # AIML Engineer - **Company:** STAFFINGINE LLC (Not LLC) - **Location:** Scottsdale, AZ, United States - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Programming, Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, OpenAI, Tensorflow, SQL Databases, Data Ingestion, Pytorch, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Apache Spark, Deep Learning, Generative AI, Fastapi, AutoML, Containerization, Kubernetes, Build Tools, Machine Learning Operations, Google Gemini, AIOps, Artificial Intelligence Markup Language (AIML), Data Pipelines, Docker - **Published:** November 3, 2026 - **Apply:** https://www.thejobnetwork.com/job/f1bef437-9268-49dc-9b57-375a5eae1e6c/aiml-engineer ## About the Role * Experience deploying models with MLOps tools such as Vertex Pipelines Kubeflow or similar platforms * Experience implementing and supporting endtoend Machine Learning workflows and patterns * Expert level programming skills in Python and experience with Data Science and ML packages and frameworks * Proficiency with containerization technologies Docker Kubernetes and CICD practices * Experience working with largescale machine learning frameworks such as TensorFlow Caffe2 PyTorch Spark ML or related frameworks * Experience and knowledge in the most recent advancements in Gen AI including Gemini OpenAI Claud and exposure to opensource Large Language Models LLMs * Experience building AIML products using technologies such as LLMs neural networks and others * Experience in building AIML Apps using Flask or FastAPI * Experience with RAG and Supervised Tuning techniques * Strong distributed systems skills and knowledge * Development experience of at least one public cloud provider Preferably GCP * Excellent analytical written and verbal communication skills * Tech Stack Python SQL Docker Kubernetes FastAPI Flask MLOps Machine Learning LLMs LangChain or similar orchestrator Vector DB or similar GCP Google AutoML Vertex AI Build tools Mandatory Skills : MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning - AIOPS ## Description * Design and implement scalable MLOps supportive data pipelines for data ingestion processing and storage