Senior Machine Learning Engineer; MLE

Position: Senior Machine Learning Engineer (MLE) Location: International Border Region (Cardston) Overview Who are we? Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. Job Description Senior Machine Learning Engineer (MLE) Equinix Redwood City, CA The following is the compensation information for this position: Remote Apply $107K - $146.90K/yr Full-time Medical, Life, Retirement, PTO Job Summary The Senior Machine Learning Engineer designs and implements advanced ML solutions leveraging GenAI and Predictive AI to solve complex business challenges. This role partners with cross-functional teams to build scalable models, extract insights from design documents, and deliver automation that drives measurable impact. The Senior MLE combines strong technical expertise with practical business understanding to accelerate AI adoption across the enterprise. Responsibilities Build and deploy ML models using GenAI and Predictive AI for forecasting, optimization, and intelligent automation Apply NLP and document analysis techniques to extract actionable insights from design documents Design robust ML pipelines and architectures for enterprise-scale applications Ensure solutions align with organizational goals and technology standards Develop efficient data models and wrangling strategies for large, complex datasets Drive data discovery initiatives and communicate patterns and hypotheses to stakeholders Implement ML frameworks and coding best practices using Python, Tensor Flow/Py Torch Integrate solutions with Big Data technologies (Spark, Kafka, Hadoop) for real-time and batch processing Create dashboards and visualizations to present ML-driven insights in a business-friendly format Translate model outputs into actionable recommendations for decision-makers Develop repeatable test strategies for ML models ensuring accuracy and reliability Certify releases for performance and customer experience Work closely with product managers, data engineers, and business teams to identify high-value AI use cases Communicate technical concepts clearly to non-technical stakeholders Qualifications 7+ years of experience in Machine Learning and Data Science Proven experience building GenAI and Predictive AI solutions Strong skills in extracting insights from design documents and applying them to ML workflows Expertise in data modeling, predictive analytics, and visualization Bachelor’s or Master’s in Computer Science, Data Science, or Machine Learning Compensation and Location The targeted pay range for this position in the following location is / locations are: United States - Redwood City Office GHQ : 163, USD / Annual #J-18808-Ljbffr