Machine Learning Jobs in Irving, TX

Own the vision, roadmap, backlog, requirements, and delivery of AI-powered products supporting secure network services. Partner with engineering, operations, governance, risk, and business stakeholders to identify use cases, prioritize capabilities, define success metrics, and guide Agile delivery. Evaluate AI technologies, monitor model and business outcomes, and ensure compliance with security, policy, responsible AI, and governance standards.

Leads the design and implementation of enterprise-scale data platforms for cybersecurity and technology risk functions. Develops scalable ETL/ELT pipelines, data models, ingestion frameworks, event-driven processing, SQL solutions, integrations, and reporting services. Provides technical leadership, architecture guidance, production issue resolution, mentoring, and operational improvements. Supports AI-enabled services while ensuring security, compliance, privacy, data quality, scalability, and responsible AI usage.

Leads risk and control management for Commercial Banking lending transformation initiatives. Conducts risk and control assessments, evaluates AI and automation impacts, designs sustainable control frameworks, partners with data, model risk, AI governance, operations, and technology teams, and advises leaders on regulatory and operational risks. Oversees governance routines, reporting, implementation monitoring, and control modernization across wholesale lending operations.

Own the architecture for autonomous-machine perception systems, including modular machine learning, camera and point-cloud detection, sensor fusion, object tracking, object persistence, and 3D mapping. Define interfaces for robotics, simulation, world modeling, validation, and safety analysis. Collaborate with edge platform, robotics, and simulation teams to convert perception algorithms into reliable autonomy capabilities for construction and off-road environments.

Build AI-powered solutions for sales and marketing productivity, including LLM agents, NLP and Generative AI applications, recommendation systems, prompt and retrieval optimization, and agentic workflows. Prototype and evaluate AI capabilities, transition successful pilots into production, and collaborate with product managers, engineers, data scientists, and business stakeholders to deliver scalable solutions and measurable business outcomes.

Design and implement enterprise AI architectures spanning GenAI, machine learning, RAG, agentic workflows, data pipelines, APIs, and production deployments. Build Python prototypes and AI services, define governance and evaluation frameworks, integrate models with enterprise platforms, and guide engineering teams through implementation. The role requires hands-on expertise with LLM applications, orchestration frameworks, model lifecycle management, monitoring, security, and scalable production AI systems, preferably in financial services.

Leads enterprise solutions architecture for complex technology programs, translating business needs into scalable, secure systems. Designs distributed, cloud-native, event-driven architectures and integrates AI, ML, generative AI, and Pega workflow platforms. Develops technology roadmaps, governs architecture, evaluates risk, mentors technical teams, and guides modernization and investment decisions. The role partners with executives, engineering leaders, product teams, and global technology stakeholders to deliver resilient platforms supporting consumer banking operations.

Leads U.S. Bank’s WCIB AI technology strategy, roadmap, operating model, and delivery framework. Establishes federated AI engineering teams, scales generative AI, agentic AI, machine learning, and enterprise platforms, and delivers high-value solutions across banking businesses. The role oversees AI governance, responsible AI, security, compliance, risk management, engineering productivity, talent development, executive stakeholder alignment, and measurable business outcomes.

Define and execute the product vision, strategy, roadmap, and priorities for web, mobile, and AI-enabled products. Lead initiatives from discovery through launch and continuous improvement while partnering with engineering, data science, design, security, and business teams. Monitor KPIs, user behavior, product analytics, and model performance to guide decisions. Ensure responsible AI practices addressing privacy, security, data quality, bias, and reliability.

Leads enterprise Intelligent Document Processing strategy, architecture, modernization, and delivery. Oversees teams of engineers, architects, and AI specialists while designing scalable document ingestion, OCR, classification, extraction, workflow, validation, and human-review solutions. Drives Generative AI, LLM, and agentic AI adoption, enterprise integrations, SDLC governance, security, compliance, and measurable business outcomes. Requires strong hands-on technical expertise, software engineering leadership, and experience in regulated industries.

Proactively hunts threats across Verizon’s network by analyzing traffic, logs, packet captures, malware, behavioral data, and threat intelligence. The role develops hunting techniques, investigates incidents, identifies vulnerabilities and logging gaps, creates detection hypotheses and alerts, and provides actionable findings to network and security stakeholders. It also documents processes, mentors peers, evaluates security tools, and communicates evolving network threats. Candidates need substantial networking and relevant cybersecurity experience, with expertise in routing, switching, threat detection, and security analysis.

Develops high-scale data systems, predictive models, ETL processes, and advanced dashboards for Verizon’s digital sales and service organizations. Analyzes enterprise-scale datasets to improve revenue, retention, and operational predictability; ensures data quality; optimizes Looker performance; applies UI/UX principles to visualization; and communicates analytical insights to technical and business stakeholders.

Leads Five9’s enterprise AI strategy, roadmap, governance, and adoption across customer experience, contact center operations, and internal functions. Owns the Claude and Gemini plugin framework, AI investment cases, vendor relationships, responsible AI policies, and executive reporting. Partners with data, applications, product, engineering, and information security teams to deploy scalable AI solutions. Builds and manages an AI organization, drives company-wide literacy and change management, and evaluates emerging technologies for enterprise use.

Develop advanced data science and AI/ML solutions using complex healthcare data. Apply statistical modeling, machine learning, NLP, and LLM techniques, including RAG and prompt optimization. Build production-ready workflows integrating models with APIs, data pipelines, enterprise applications, and cloud platforms. Analyze data quality and model performance, communicate findings to technical and executive audiences, and collaborate across product, engineering, clinical, technology, and business teams.

Leads marketing measurement, attribution, predictive modeling, audience segmentation, and advanced analytics. Develops statistical and machine learning models, evaluates marketing and sales data, improves campaign and revenue measurement, and translates insights into strategic recommendations. Partners with marketing, sales, operations, digital, and data engineering teams while presenting findings to senior stakeholders and driving analytics innovation.

Leads principal engineers and cross-functional teams delivering business systems, products, and platform enhancements for Verizon’s indirect consumer channel. Responsibilities include managing technology roadmaps, requirements, business cases, vendor relationships, integrations, Agile delivery, stakeholder communications, and CRM, product catalog, and point-of-activation platforms. The role also drives AI-enabled store solutions, KPI performance, customer and partner experience improvements, and organizational change.

Leads prepaid debit card fraud risk management, including fraud strategy, controls, loss performance, trend monitoring, root-cause analysis, and mitigation. Manages and develops fraud analyst experts while partnering with product, operations, technology, compliance, payment networks, issuing banks, and regulators. Supports launches, audits, client proposals, escalations, and executive reporting. Promotes responsible use of AI, machine learning, analytics, visualization, and data storytelling to improve fraud outcomes.

Support analytical projects across Gartner's BTI and Product teams: analyze large datasets, build dashboards and reports, apply ML/AI and LLM tools, assist data pipeline setup, collaborate with data engineering and IT, and communicate insights to stakeholders. High-performing interns may receive full-time offers.

Leads digitalization and innovation initiatives for a remote optimization center, deploying AI, advanced analytics, automation, digital twins, and decision-support tools to improve plant performance. Oversees data science resources and analytics portfolios, partners with operations, engineering, technology teams, and vendors, and manages innovation programs and solution pipelines. The role drives solutions from ideation through production, adoption, scaling, and measurable operational improvement across manufacturing environments.

Provides strategic cybersecurity architecture leadership across applications, data, networks, cloud, SaaS, and emerging AI technologies. Develops security requirements, designs secure technical architectures, assesses risk, improves security frameworks, supports SDLC activities, and supervises cybersecurity testing. Partners with business and executive stakeholders to enable strategic initiatives while strengthening security controls and resolving complex technical challenges.

Designs, builds, and operates identity-resolution and master data management services for patient and provider records. Develops deterministic and probabilistic matching, merge and separation workflows, APIs, data models, audit trails, quality controls, and integrations across clinical systems. Maintains automated tests, observability, documentation, and controlled releases; supports incidents and root-cause analysis. Partners across product, governance, clinical operations, compliance, and engineering while mentoring engineers and using AI-assisted development workflows.

Lead global marketing for Caris AI Insights, defining positioning, messaging, GTM, and commercialization. Drive product launches, sales enablement, thought leadership, customer evidence, competitive analysis, and cross-functional alignment to accelerate adoption of AI-driven oncology intelligence across healthcare, pharma, and research customers.

Architect and build device-side telemetry, generative AI agents, predictive analytics, and autonomous network platforms. The role develops RAG and agentic AI solutions for proactive troubleshooting, root cause analysis, anomaly detection, and closed-loop remediation. It also leads multi-cloud data architecture across AWS and GCP, edge model deployment, MLOps/LLMOps, governance, and production collaboration with network, data science, and product teams.

As a Data Scientist in the Innovation Team, you'll develop machine learning algorithms on molecular sequencing data to enhance cancer diagnostics and treatment, collaborating with diverse experts on high-impact projects.

Leads Citi’s global Wealth Data and Analytics Production Management organization, overseeing up to 80 L1 and L2 support professionals across multiple regions. Owns operational stability, resilience, incident escalation, change governance, workload optimization, risk controls, budgets, vendors, and executive stakeholder relationships. Drives modernization through GenAI, automation, observability, SRE practices, self-healing capabilities, and disaster recovery improvements while developing a high-performing global team.