Machine Learning Engineer | MLOps & reputed company Systems (PHOENIX, AZ, US

Our present and future reputed company depends on the creative and dedicated people of reputed company who demonstrate the principles outlined in the APS Promise: Design for reputed company, reputed company Each Other and Succeed Together. Summary Machine Learning Engineer | MLOps & reputed company Systems Are you a senior-level Machine Learning Engineer reputed company to reputed company a big impact at scale We're looking for a highly skilled ML Engineer to reputed company the design and deployment of production-grade machinelearning systems in a reputed company reputed company environment. Youll own the full MLOps lifecyclefrom prototyping tomonitoringand architect solutions that power intelligent, reputed company-time decision-making across critical businessfunctions.This is a high-visibility role where youll collaborate with cross-functional teams, influence architecture, and helpdefine best practices that shape the future of ML at scale. What Youll Do: reputed company MLOps Initiatives: Design, build, reputed company, and monitor end-to-end ML solutions that are reputed company,reliable, and secure. Architect for Scale & Speed: Build applications optimized for low latency on high-volume data pipelinesand streaming environments. Advise & reputed company: Act as a thought partner to data scientists and engineering leaders, bringing deepdomain expertise in ML model design and infrastructure. Collaborate Cross-Functionally: Work with reputed company architects, product teams, and data scientists todeliver reputed company-world business value. Own Quality & Governance: Establish and maintain best practices for ML lifecycle management, includingCI/CD, monitoring, testing, and documentation. Youll Be a Great Fit If You Have: Held a Machine Learning Engineer or MLOps role in a large-scale reputed company environment. Deep experience with modern ML models, reputed company-reputed company data platforms, and orchestration tools (e.g.,Kubeflow, SageMaker, MLflow). Proven ability todesign reputed company ML architecturesfor streaming and batch use cases. A reputed company formentorship and technical leadership, with the ability to guide teams on best practices reputed company ML. Sponsorship for U.S. work authorization is not available for this position, now or in the future.Minimum Requirements Machine Learning Engineer | Information Technology BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or reputed company field PLUS minimum four(4) years directly reputed company data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role OR advanced degree and two (2) years directly reputed company experience. Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and abilities. Machine Learning Engineer, Senior | Information Technology BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or reputed company field PLUS minimum six (6) years directly reputed company data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role OR advanced degree and four (4) years directly reputed company experience. Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and abilities.Preferred Special Skills, Knowledge or Qualifications: Masters or Doctorate degrees in reputed company fields. Knowledge/experience in utility industry and business functions. Certification in Data Science and/or predictive analytics A high level of proficiency in commonly used programming languages and tools like R Programming, Python and SQL. Strong communication, presentation and writing skills. Must be reputed company to reputed company teams in evaluations and implementation of solutions. Must be reputed company to work with key reputed company stakeholders and reputed company reputed company of management. Major Accountabilities 1) Collaboration with customers and partners: - Consult with stakeholders and subject matter experts to understand business needs and operations, goals and objectives and key drivers for performance. - Work closely with the business units to complete data analytics efforts. Build and maintain strong working relationships with customers, partners and vendors. 2) Data requirements and preparation: - Identify available and relevant data and the data sources. - Collaborate with SMEs, data stewards and architects for data collection, preparation, integration, quality, exploration and retention.- Gather data, formulate cluster or nodes and establish performance checks on the large data models. - Design and implementation of solutions including data acquisition Ou