Machine Learning Jobs in Tempe, AZ

Develop and optimize predictive models for credit and risk, leveraging advanced machine learning techniques to improve accuracy and decision quality.

Lead discovery, roadmap, and delivery of AI-native credit, fraud, identity, and case management products. Define product vision, partner with Engineering and ML on agents, prompts, and retrieval; manage backlogs and sprints; coordinate global teams; set evaluation metrics, guardrails, and audit processes in regulated environments. Hybrid role based in Scottsdale.

Design, develop, test, and implement complex BI solutions. Gather and manage requirements, build reports, dashboards, and data models, collaborate with business and IS teams, and apply machine learning and statistical techniques to large healthcare and retail datasets to produce financial and market intelligence.

Design, develop, and upgrade software applications and platforms to support digital healthcare solutions. Analyze requirements, produce technical design, write and test high-quality code, deploy components, and support CI/CD. Work with cross-functional teams on code reviews, QA, and best practices. Mentor junior engineers and support systems that process prescriptions, claims, and related healthcare activities.

The Vice President of Data Science oversees AI-driven clinical insights and predictive modeling, leading a team to develop novel AI signatures from clinico-genomic data. Responsibilities include strategy execution, model governance, and collaborative efforts across multiple departments to enhance precision medicine.

The Principal Solutions Advisor provides strategic guidance on supply chain solutions, leads a team, and ensures successful delivery of solutions tailored to client needs.

Develop, deploy, and maintain quantitative and optimization models for BESS dispatch, renewables, gas generation, and power market analysis. Build CWENQuant platform, data pipelines, and dashboards; create stochastic and ML/DL forecasts; perform mark-to-market, underwriting, and risk analysis; benchmark models and provide analytical insights to trading, origination, development, and asset management.

Design and implement Dynamics 365 Finance solutions, lead fit/gap and integration architecture, optimize finance processes (GL, AP, AR, cash, fixed assets, project accounting), oversee project delivery, enable reporting and AI-driven automation, mentor functional teams, and advise finance leadership on ERP, Copilot, and data/AI strategy.

Lead development and deployment of monitoring, modeling, and analytics tools to maximize solar and battery storage asset performance. Detect and analyze underperformance, implement corrective actions, support procurement and due diligence, coordinate testing and handovers, and train team members on PVsyst and performance methods.

Develop prototypes, PoCs, and MVPs for GenAI solutions. Apply deep learning and ML principles using Python, Hugging Face, LangChain, OpenAI API, TensorFlow/Keras/PyTorch, and cloud model services. Work with multi-modal data and intelligent agent tools. Be self-motivated, collaborative, and focused on solving hard AI/GenAI problems.

Lead design, development, and production deployment of scalable ML systems across domains. Own end-to-end ML lifecycle, architect pipelines and serving, drive MLOps maturity, mentor engineers, conduct design/code reviews, and ensure monitoring, governance, and model reliability in production.

Lead technical vision and architecture for enterprise ML platforms and MLOps. Design training, feature, serving, and observability systems; establish ML lifecycle and governance; solve complex cross-team engineering problems; mentor senior engineers; evaluate emerging AI technologies; drive cost optimization, compliance, and organizational alignment.

Design, build, and deploy ML models and end-to-end pipelines; implement MLOps practices; deploy containers to cloud production; monitor model performance and drift; collaborate with engineers and product teams; optimize latency and throughput; write production-quality code and mentor junior engineers.

The Senior Machine Learning Scientist will develop LLM and CV models, mentor junior scientists, and advance AI technologies applicable to law enforcement.

Seeking a Senior Cybersecurity Analyst for monitoring threats, responding to incidents, and utilizing AI/machine learning tools within SOC. Responsibilities include threat detection, incident analysis, and integration of Google SecOps tools.

The Senior ML Operations Engineer is responsible for building and maintaining ML infrastructure, model deployment processes, and collaboration with data teams to optimize predictive modeling solutions.