Top Machine Learning Jobs in Charlotte, NC

Lead long-term technical strategy and execution across multiple teams, architecting and evolving foundational frontend/backend systems and platforms at massive scale. Drive AI/ML adoption, solve ambiguous, high-impact problems, remain hands-on in critical system design and implementation, and align senior leaders on roadmaps and engineering standards.

As a Manager of Cloud Software Engineering at Coupa, you will lead AI platform DevOps, manage global teams, and oversee agile delivery while ensuring technical quality and innovation.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Build and operate containerized backend services and APIs to integrate heterogeneous multicloud data sources, enable governed access and metadata/lineage, expose machine-first interfaces for AI agents, support ML workflows, and own CI/CD, observability, performance, and reliability for production services.

Develop and apply process and FEA models to predict and improve manufacturing of specialty alloys. Support model validation via testing, communicate results, propose projects for quality/cost improvements, and collaborate across R&D and manufacturing with periodic plant visits. Onsite in Monroe, NC.

The Sr Solutions Architect I will design and deliver platform solutions, ensuring they align with business needs and technical requirements while overseeing project teams and stakeholders.

As a Principal Software Engineer, you'll architect and code backend services and ML models, integrate them with Salesforce, and mentor junior engineers.

Lead enterprise M&A data architecture and integration: perform technology due diligence, define target-state and integration roadmaps, drive cloud modernization, application/platform rationalization, data harmonization, governance, and large-scale program delivery to realize value from mergers and acquisitions.

Develop and maintain client- and server-side web applications, mentor junior engineers, perform code reviews, build RESTful services, optimize performance (JVM tuning), and work with NoSQL, distributed caching, search, and ML/NLP technologies.

Develop and maintain Java/J2EE applications using JPA/Hibernate, Spring/Struts and web services (SOAP/REST). Build responsive UIs with AngularJS/JavaScript. Work with MS SQL/Oracle and PL/SQL, MQ Series, multi-threading and some machine learning integration. Participate in design/architecture reviews, SDLC and project lifecycle activities within Financial Services in a global delivery environment.

Develop and maintain Java/J2EE applications using Spring/Struts, JPA/Hibernate, and REST/SOAP web services; build responsive UIs with AngularJS and JavaScript; work with SQL/Oracle PL/SQL and MQ Series; perform design and architecture reviews; support SDLC and project lifecycle in a financial services global delivery environment.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Lead Lean transformation initiatives and AI coordination to enhance process excellence across multiple business functions, coaching teams and ensuring integration with operational standards.

Lead enterprise architecture and define future-state cloud, data, and integration platforms. Guide DevOps, data, integration, and infrastructure teams; design scalable secure cloud and on-prem solutions across AWS/Azure/Nutanix; drive IaC, CI/CD, automation, monitoring, cost optimization, and security; advise senior leadership and mentor engineering teams.

Design, automate, configure and qualify customer use cases on IOS‑XR platforms (ASR9K, NCS5500, 8000). Reproduce customer environments in lab, develop test frameworks and web GUIs leveraging analytics/ML, run automated and manual validation tests, troubleshoot routing platforms, and collaborate globally with development and account teams to deliver validated solutions for large service provider and enterprise deployments.

Design and deliver secure, high-performance microservices and APIs. Develop backend services in Java and Python, integrate ML components, build front-end service layers, deploy containerized applications to cloud platforms, and collaborate in Agile teams to ensure scalable, test-driven solutions.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

Lead the Interventions engineering pillar owning technical strategy and execution for early diagnosis, longitudinal care, and treatment. Scale data and ML infrastructure, improve clinical data accuracy, manage ML/LLM features, drive AI-assisted SDLC, and partner cross-functionally with Product, Data Science, and Clinical Operations to meet clinical performance goals.

The Engineering Manager will lead teams in developing and managing Blackbaud's Data & AI platform, focusing on scalability, security, and cost-efficiency.

The Staff GenAI Backend Engineer leads engineering for intelligent routing systems, collaborates with teams to enhance customer support, and maintains architectural integrity in a high-availability environment.

The role involves developing and integrating AI features into Cribl's products, collaborating with teams, and maintaining operational efficiency.

This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.

Lead and improve Serve's Safety Management System: identify hazards, run risk assessments, manage incident investigations and emergency response, validate safety assurance, track safety metrics, and promote a strong safety culture across teams.

The Engineering Manager for Smart Signals leads a team, manages execution, and maintains technical depth in backend systems for fraud detection. They shape strategy and coordinate across teams to enhance product quality.