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Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary:

The Senior Machine Learning Engineer designs and implements advanced ML solutions leveraging Generative AI 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

AI & ML Development

• 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

Solution Architecture

• Design robust ML pipelines and architectures for enterprise-scale applications

• Ensure solutions align with organizational goals and technology standards

Data Engineering & Modeling

• Develop efficient data models and wrangling strategies for large, complex datasets

• Drive data discovery initiatives and communicate patterns and hypotheses to stakeholders

Software Engineering

• Implement ML frameworks and coding best practices using Python, TensorFlow/PyTorch

• Integrate solutions with Big Data technologies (Spark, Kafka, Hadoop) for real-time and batch processing

Visualization & Insights

• Create dashboards and visualizations to present ML-driven insights in a business-friendly format

• Translate model outputs into actionable recommendations for decision-makers

Testing & Quality

• Develop repeatable test strategies for ML models ensuring accuracy and reliability

• Certify releases for performance and customer experience

Collaboration & Stakeholder Engagement

• 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

• 2 - 4 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

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.  If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. 

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This posting is a new position within our organization.