Remote - Machine Learning Enginee with geo spatial and churn prediction And Azure

This a Full Remote job, the offer is available from: Washington (USA) Role: Machine Learning Engineer with Azure DataBricks Location: Seattle, WA - Remote Duration: Long term Rates: DOE Note: Core Machine Learning Engineers only (No GenAI and Data Scientist profiles) Key Responsibilities • Model Engineering & Deployment: Build and maintain production-grade ML models with an emphasis on real-time inference, scalability, and reliability. • End-to-End ML Infrastructure: Design and implement scalable ML pipelines on AWS, GCP, or Azure. • Cross-Functional Collaboration: Partner with data scientists, data engineers, DevOps, and business stakeholders to continuously improve AI performance. • CI/CD Optimization: Develop and maintain CI/CD pipelines for ML using tools such as GitHub Actions. • Monitoring & Logging: Set up and manage tools to monitor system health and ML model performance. • Security & Compliance: Ensure ML systems meet telecom and other data privacy regulations. Required: • 7+ years of experience as a Machine Learning Engineer. • Bachelor's degree in Computer Science, Artificial Intelligence, Informatics, or related field. • Strong knowledge of predictive modeling, NLP, and LLMs, including the use of the RAG framework. • Hands-on experience with Azure DataBricks. • basically more with geo spatial and churn prediction • Proficiency in Python, SQL, and either R or a comparable language. • Deep understanding of architecture, containerization (Docker, Kubernetes), and deployment strategies. • Proven experience building scalable, secure, and compliant AI/ML systems. • Expertise in CI/CD automation and DevOps collaboration. Preferred: • Master's degree in a relevant field. • Experience working with Telecom systems. • Certifications in machine learning or cloud computing. This offer from "Resource Informatics Group, Inc" has been enriched by Jobgether.com and got a 72% flex score. Apply tot his job