Senior AI, Data Solutions Engineer

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🔥 3 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

💵 $96k - $192k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Carrier

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1915

🏗️ Construction

🏥 Healthcare

📦 Logistics

Construction • Healthcare • Logistics

Carrier is a global leader in building and cold chain solutions, dedicated to innovation in creating healthy, safe, sustainable, and intelligent environments. The company is involved in HVAC and refrigeration systems and focuses on promoting the health and safety of indoor spaces and preserving the global supply of food and medicine through its advanced technologies. Carrier is also committed to addressing climate change and collaborates with partners to drive sustainability and energy efficiency in infrastructure. By exploring smart building solutions and energy resiliency, Carrier is making strides towards a net zero future.

📋 Description

• Design, develop, and deploy scalable AI, machine learning, and advanced analytics solutions to drive business value • Build and maintain robust data pipelines, data models, and enterprise data assets that support reporting, analytics, and AI initiatives • Partner with business stakeholders to translate requirements into data-driven solutions and actionable insights • Implement data governance, quality, security, and responsible AI practices to ensure trusted and compliant use of enterprise data • Support the development and enhancement of AI capabilities through predictive modeling, automation, and continuous innovation • Play a key role in advancing Carrier's AI and data transformation strategy through innovative analytics and AI solutions • Support high-visibility, enterprise-scale initiatives and programs that directly impact business performance and decision-making • Collaborate with global cross-functional teams across business and technology functions to deliver scalable digital solutions • Contribute to strategic programs with significant business impact while gaining exposure to enterprise data, analytics, and AI leadership initiatives

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or Information Systems field of study • 8+ years of professional experience in AI/ML, data engineering, data science, or advanced analytics • Must be a U.S. Citizen or U.S. Permanent Resident • Hands-on experience developing, validating, and deploying machine learning models and scalable data pipelines within production environments • Expertise in generative AI, MLOps, Azure AI/Data platforms, and enterprise-scale analytics solutions • Familiarity with manufacturing, aftermarket, supply chain, or industrial business domains • Experience delivering AI products from concept through production deployment • Create complex queries and codes using Python and SQL • Background working with modern cloud-based data platforms and data engineering tools, supported by effective problem-solving, stakeholder management, and cross-functional collaboration capabilities.

🏖️ Benefits

• Medical, Dental, Vision • Wellness incentives • Paid vacation days, up to 15 days • Paid sick days, up to 5 days • Paid personal leave, up to 5 days • Paid holidays, up to 13 days • Birth and adoption leave • Parental leave • Family and medical leave • Bereavement leave • Jury duty leave • Military leave • Purchased vacation • Short-term and long-term disability • Life Insurance and Accidental Death and Dismemberment • Health Savings Account • Health Care Spending Account • Dependent Care Spending Account • Tuition Assistance