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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Robert Half - **Location:** Phoenix, AZ, United States - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Data Governance, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Search Technologies, Software Construction, Software Engineering, SQL Databases, Unstructured Data, Data Processing, Google Cloud, Enterprise Software Applications, Cloud Platform System, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Generative AI, Pandas, Containerization, AI Platforms, Scikit Learn, Kubernetes, Information Technology, Deployment Automation, HuggingFace, Xgboost, Machine Learning Operations, Virtual Agents, Restful APIs, Software Version Control, Data Pipelines, Software Library, Docker, Databricks, Microservices - **Published:** September 20, 2026 - **Apply:** https://dejobs.org/x/x/F7F588BF863E46529D6C339E08964F89/job/ ## About the Role * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, or a related discipline. * 3+ years of experience developing machine learning or AI-based solutions. * Strong proficiency in Python and experience with machine learning libraries such as: * TensorFlow * PyTorch * Scikit-learn * XGBoost * Experience developing and deploying machine learning models in cloud environments such as: * Microsoft Azure * AWS * Google Cloud Platform (GCP) * Knowledge of data processing tools and frameworks including SQL, Spark, Pandas, and Databricks. * Experience with REST APIs, containerization (Docker), and orchestration platforms such as Kubernetes. * Understanding of software engineering best practices, source control, CI/CD, and Agile development methodologies. * Strong analytical, problem-solving, and communication skills., * Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or prompt engineering. * Familiarity with OpenAI, Azure OpenAI, Anthropic, Hugging Face, LangChain, or similar AI platforms. * Experience deploying models in enterprise production environments. * Knowledge of vector databases and semantic search technologies. * Experience with data governance, responsible AI, and model explainability frameworks. * Advanced degree (Master's or Ph.D.) in a related field is preferred. Technology Doesn't Change the World, People Do.® ## Description A growing organization in the Phoenix area is seeking an experienced AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that drive business innovation and operational efficiency. This role will work closely with software engineers, data scientists, product teams, and business stakeholders to build scalable AI-powered applications and advanced analytics solutions. The ideal candidate combines strong software engineering fundamentals with hands-on experience in machine learning, deep learning, and modern AI technologies, including generative AI and large language models (LLMs)., * Design, develop, test, and deploy machine learning models and AI-driven applications. * Build and maintain scalable data pipelines to support model training, evaluation, and production inference. * Develop predictive analytics, classification, recommendation, forecasting, and natural language processing (NLP) solutions. * Implement and optimize deep learning models using modern frameworks and cloud-based infrastructure. * Collaborate with cross-functional teams to identify business opportunities for AI and machine learning applications. * Monitor model performance, accuracy, and reliability in production environments. * Apply MLOps best practices for model versioning, deployment automation, monitoring, and governance. * Develop APIs and microservices to operationalize AI models and integrate them into enterprise applications. * Work with structured and unstructured datasets to prepare, cleanse, and engineer features for modeling. * Stay current with emerging technologies and advancements in AI, machine learning, and generative AI. ## Related Videos - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## 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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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