AI/ML Engineer

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.

• 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.®

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