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.

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.

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.

Design, build, deploy, monitor, and optimize unattended Power Automate RPA workflows. Collaborate with business and IT partners, ensure compliance and security, document solutions, perform testing and code reviews, support production, and cross-train on Automation Anywhere.

Lead and grow engineering teams building investor-facing web and mobile platforms. Oversee full-stack development, microservices, cloud (AWS), REST APIs, Kafka integrations, and AI-enabled engineering transformation. Recruit, coach, manage delivery, partner with product/design/architecture, and drive engineering best practices, risk management, and continuous improvement.

Lead technical pre-sales engagements, design tailored solutions, demonstrate platform capabilities, assess customer needs, and expand relationships within life sciences and health technology.

The Staff Technical Program Manager will manage robotics projects, oversee cross-functional teams, ensure timely delivery, and maintain effective communication across stakeholders.

Lead development and optimization of web scraping pipelines to extract, clean, and store large-scale web data. Handle dynamic content, pagination, distributed scraping, database design with NoSQL, deploy jobs to cloud, and monitor systems for reliability and data quality. Support ML-based data cleaning and categorization.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

As a Software Engineer, you will design solutions, write quality code, collaborate with teams, and ensure efficient data delivery for client applications.

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.

The SAP Innovation Architect will design SAP automations, mentor engineers, and drive innovation in AI-driven SAP operations, while ensuring scalability and security in integrations.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

Lead engineering strategy and delivery for customer-facing web and mobile platforms; drive AI-native transformation, increase conversion and speed-to-fund, raise engineering talent and velocity, ensure secure and compliant architectures, partner with product and cross-functional teams to deliver measurable business outcomes.

Full‑stack software engineer responsible for designing, coding, unit/integration testing, and delivering scalable services for AI/search platforms. Work includes CI/CD, performance tuning, integrating components, contributing to test suites, performing spikes/proofs‑of‑concept, and collaborating in Agile teams to meet functional, non‑functional, and compliance requirements.

The Senior Engineering Manager at Planet leads the engineering team, focusing on delivering products for Defense Intelligence. Responsibilities include mentoring engineers, refining processes, and collaborating across teams for effective deployment of technology.

Lead initiatives in designing and building large-scale distributed data systems and ML infrastructure, while collaborating across various engineering teams.

The Senior Software Engineer will design and optimize recommendation algorithms, maintain data pipelines, and improve personalized user experiences using machine learning techniques and backend engineering skills.

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