Machine Learning Jobs in Plano, TX

Designs and delivers enterprise workflow automation, AI, process mining, and intelligent document processing solutions. Partners with stakeholders to identify automation opportunities, gathers requirements, develops and tests solutions, and manages deployment and post-production support. Uses Pega, Power Platform, UiPath, Alteryx, Python, Signavio, and AI technologies to improve operational efficiency, employee experience, compliance, and measurable business outcomes.

Leads a data science team within wealth management, delivering analytics, machine learning, experimentation, and AI solutions that improve client outcomes, product performance, and operational efficiency. Partners with product, strategy, and operations leaders to define problems, metrics, and recommendations. Oversees modeling, client behavior analysis, experimentation frameworks, executive communication, and AI use-case development while coaching team members and managing performance.

Lead cybersecurity architecture for cloud-native enterprise solutions: evaluate controls and new technologies, advise stakeholders, provide technical guidance, promote firmwide SDLC practices, and mentor peers to mitigate risk and adopt strategic solutions.

Build and maintain production ML platforms, data and feature pipelines, cloud infrastructure, and MLOps automation on AWS. Support model training, deployment, monitoring, testing, legacy workload migration, and platform reliability. Collaborate with data scientists to deliver scalable capabilities, while promoting secure, responsible use of AI-assisted engineering tools and validating AI-generated outputs. Requires Python, ML frameworks, AWS, Spark, infrastructure-as-code, and deployment automation experience.

Research emerging AI workloads and computing architectures, evaluate memory and storage requirements, and analyze performance, power, cost, bandwidth, capacity, latency, and scalability tradeoffs. Develop simulations, benchmarks, models, and analytical tools for next-generation memory and storage concepts. Characterize workloads across CPUs, GPUs, accelerators, and memory-centric platforms while collaborating with architects and engineers on technology assessments and proof-of-concept evaluations.

Leads control management for JPMorganChase’s Consumer and Community Banking Operations portfolio. Designs and strengthens risk and control frameworks, identifies emerging compliance and operational risks, drives governance and issue management, and promotes consistent agile control practices. Partners with Product, Technology, Legal, Compliance, Audit, and Risk stakeholders to support transformation initiatives, regulatory compliance, control effectiveness, and operational resilience. Requires strong risk-based decision-making, change management, stakeholder influence, executive communication, and data literacy.

Leads full-stack software engineering and infrastructure platform development for AI-driven, self-healing data center operations. Designs Java, Python, and Node.js applications, scalable APIs, CI/CD automation, cloud-native platforms, VMware integrations, and infrastructure-as-code workflows. Develops machine learning models for forecasting, anomaly detection, and test classification, integrating them into operational systems for predictive alerts and workload orchestration. Provides technical leadership, mentors engineers, reviews code, and drives firm-wide architecture and technology decisions.

Lead design-driven technical solutions that blend UX and software development. Create service flows, wireframes, prototypes, and CX strategies; guide technical teams and integrate user research, AI, and accessibility into products.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

Own the vision, strategy, roadmap, backlog, metrics, and end-to-end delivery of enterprise contact center capabilities. Integrate Amazon Connect workflows with business applications, lead discovery and stakeholder alignment, manage product readiness and adoption, and ensure secure, reliable, measurable outcomes across engineering, operations, risk, and business teams.

Lead architecture for global cloud-based eCommerce payment platforms. Advise stakeholders on design and technology selection, define multi-year roadmaps, apply AI-enabled architecture patterns, ensure security/compliance, evaluate vendors, and present strategies to senior leaders to modernize merchant acquiring, payment gateway, and developer-facing APIs.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Provide legal and regulatory monitoring and analysis for Consumer & Community Banking; draft summaries; manage regulatory and change-management matters; design and improve legal processes; evaluate and apply emerging technologies and AI prompts for legal workflows; respond to regulator, audit, and compliance inquiries; support special research projects and collaborate across teams to solve problems and prioritize work in a fast-paced environment.

Leads machine learning engineering teams while designing, deploying, scaling, monitoring, and governing production ML models and platforms. Responsibilities include building distributed ML systems, cloud architectures, data pipelines, CI/CD automation, model retraining, responsible AI practices, and resilient production services. The role combines hands-on technical leadership with mentoring, recruiting, talent development, and cross-functional collaboration with Product and Data Science teams.

Build, deploy, optimize, and monitor production machine learning models and infrastructure. Develop ML applications, data pipelines, cloud architectures, and distributed systems using technologies such as PyTorch, TensorFlow, Spark, Ray, and Kubernetes. Collaborate with Product and Data Science teams, automate testing and deployment, maintain model governance, and apply responsible and explainable AI practices.

Owns the full lifecycle of Cisco’s transaction quoting, booking, and invoicing products. Responsibilities include defining product strategy and multi-year roadmaps, designing commerce data models and ordering rules, leading discovery, simplifying quote processes, coordinating with operations, legal, and finance, and measuring deployment value and ROI. The role requires enterprise commercial workflow expertise, including pricing, order booking, subscription lifecycle management, and Quote to Cash processes.

Own and prioritize the product backlog for Cisco’s transaction quoting, booking, and invoicing systems. Define technical specifications and acceptance criteria, lead feature discovery, simplify commerce workflows, and reduce quote cycle times. Partner with operations, legal, and finance teams to align configurations with pricing governance and revenue recognition. Lead testing strategies and business acceptance testing while influencing the technical roadmap and applying automation to improve scalability and user experience.

Leads the design and development of scalable software frameworks and secure production code. Architects enterprise AI-enabled engineering workflows, establishes responsible AI guardrails, and improves automation, testing, release readiness, and incident response. Advises cross-functional teams, influences senior stakeholders, defines target-state AI architectures, and guides roadmaps and solution architectures across Consumer and Community Banking.

Lead data science and NLP initiatives for AI-powered products, partnering with engineers, machine learning specialists, and product managers. Build, fine-tune, evaluate, validate, and operationalize large language and machine learning models at scale. Apply advanced NLP, deep learning, and model training techniques while supporting model risk compliance. Translate technical findings into business outcomes and develop team talent.

Lead account management for self-insured employer clients using healthcare data analytics to improve plan performance and reduce costs. Build executive relationships, translate complex claims and analytical insights into actionable recommendations, coordinate implementations and internal delivery teams, manage client presentations and reporting, troubleshoot issues, and identify growth opportunities. The role also supports contract negotiations, data intake, project timelines, client satisfaction, and strategic collaboration across analytics, clinical, sales, and consulting teams.

Leads cybersecurity engineering teams developing enterprise security solutions across multiple technology domains. Clarifies security requirements, supports multi-level network security, performs threat modeling and vulnerability assessments, and advises leaders during security risks. Uses and validates enterprise-authorized AI for risk analysis, documentation, security testing, and control validation while ensuring data sensitivity, auditability, and resiliency. Coaches, develops, hires, and recognizes engineering talent.

Build, deploy, test, scale, and optimize machine learning models and AI inference workflows for edge and cloud environments. Develop maintainable software components and APIs, profile performance, document engineering designs and benchmarks, and communicate technical trade-offs across software, machine learning, and hardware teams.

Leads transformation of demand and revenue planning processes, data, systems, automation, and analytics. Partners with business leaders, IT, and technology vendors to prioritize initiatives, design solutions, improve data quality, implement integrations, develop dashboards and AI use cases, and drive adoption. The role also manages transformation roadmaps, benefits realization, executive communication, training, documentation, and continuous improvement.

Manage compliance and operational risk controls within Consumer and Community Banking. Partner with stakeholders to identify risks, assess control gaps, design and monitor controls, lead risk and control self-assessments, and support regulatory compliance initiatives. Use automation, AI, analytics, and visualization tools to improve control effectiveness and reporting. Lead projects, communicate findings, advise executives, and drive technology-enabled process improvements.

Leads a team overseeing operational and compliance controls for a banking operations product organization. Provides strategic guidance on responsible AI adoption, identifies and manages operational and technology risks, strengthens governance and control practices, resolves control gaps, and communicates risk insights to senior management. The role also leads strategic initiatives, partners with stakeholders, develops talent, and drives improvements to the control environment.