Machine Learning Jobs in Plano, TX

Leads security engineering across multiple technology domains, clarifies security requirements, supports multi-level network security, and advises stakeholders during vulnerabilities and disruptive events. Performs threat modeling, risk assessment, vulnerability and penetration testing, and validates AI-assisted security recommendations. Designs and implements enterprise security solutions while ensuring security testing, control validation, traceability, auditability, and resiliency throughout software development lifecycles and toolchains.

Lead data science initiatives by designing scalable analytical methods, building data pipelines and models, and delivering insights from financial and transaction data. Provide technical oversight, establish coding and modeling standards, ensure analytical rigor, and manage data science projects. Coach and develop analysts and data scientists while applying statistical analysis, machine learning, predictive modeling, anomaly detection, geospatial analytics, and business intelligence to support strategic decisions.

Develop and support CAD tools, EDA integrations, automation, and design flows for semiconductor and memory product development. Build software prototypes, optimize RTL-to-GDS workflows, evaluate emerging technologies, and maintain engineering computing infrastructure. Provide technical support, documentation, and training to design, layout, verification, and process engineering teams while diagnosing infrastructure issues and improving design productivity, reliability, and efficiency.

Own the strategy, roadmap, backlog, and delivery priorities for Liberty Mutual’s UiPath intelligent automation and orchestration ecosystem. Partner with business, engineering, architecture, and technology stakeholders to define product capabilities, prioritize customer value, manage dependencies, and communicate decisions. Monitor product health, KPIs, risks, compliance, and operational insights while supporting Agile ceremonies and continuous improvement. The role requires extensive UiPath platform experience, automation integrations, and the ability to influence stakeholders across teams.

Supports CAD tools, design flows, and collateral for DRAM teams, enabling mixed-signal and transistor-level IC design, layout, verification, simulation, timing, power, reliability analysis, tapeout, and mask generation. Collaborates on EDA methodologies and develops ML-based solutions for IC design automation using Python, Tcl, and SKILL.

Leads technology risk and control activities across an application portfolio. Responsibilities include identifying and mitigating operational and compliance risks, evaluating control effectiveness, managing issues, conducting root cause analysis, reporting risk insights, and supporting regulatory compliance. The role also applies enterprise AI and machine learning governance, validates AI-assisted outputs, protects sensitive data, and advises technology leaders and senior management on risk posture and remediation strategies.

Develop and deploy software, CAD automation, and AI-assisted tools for custom memory IC design workflows, including layout, verification, simulation, and tape-out. Collaborate with global design and CAD teams to identify automation opportunities, integrate EDA tools, and apply generative AI, machine learning, and LLM technologies. Maintain scalable, tested, documented developer tooling and workflow integrations.

Build and operate security services and guardrails for AI and machine learning workloads on AWS. Develop production Python code, design cloud security controls, manage Terraform infrastructure, lead technical designs and vendor evaluations, and ensure reliable, scalable implementations. The role also addresses generative AI misuse through input validation, abuse detection, identity and access controls, encryption, logging, monitoring, and policy enforcement.

Leads end-to-end generative and agentic AI initiatives, from research and experimentation through production deployment. Designs foundation-model solutions, evaluation frameworks, semantic modeling standards, and responsible AI controls. Partners with product, engineering, risk, and business stakeholders to define outcomes, optimize reliability and performance, and deliver scalable AI services. Mentors engineers and data scientists while communicating technical recommendations to diverse audiences.

Owns Small Business Deposits data across sourcing, documentation, delivery, quality, protection, and governance. Partners with product, technology, analytics, operations, risk, controls, and vendors to define data assets, requirements, access controls, retention, and risk mitigation. Leads modernization into enterprise data platforms, resolves delivery issues, aligns stakeholders, and manages direct or matrixed teams delivering data-related outcomes.

Supports telecommunications equipment, network, and service issue resolution while assisting with repair, incident, and service-support processes. Analyzes operational data, identifies recurring issues, develops automation using scripting and AI, tests tools and workflows, maintains technical documentation and dashboards, and contributes to continuous improvement. Collaborates with engineering, operations, supply, quality, and customer-facing teams while preparing stakeholder recommendations.

Develops scalable, resilient software and AI-powered capabilities for identity and access management. Designs, codes, tests, troubleshoots, and maintains secure production systems using Java or Python. Leads responsible adoption of AI-assisted development tools, establishes validation and security standards, contributes to architecture, analyzes large datasets, and improves software quality, resiliency, and operational outcomes. Collaborates with engineering, architecture, data science, risk, compliance, and business teams in an agile environment.

Lead the development and production deployment of generative AI, agentic AI, and machine learning solutions in Python. Establish enterprise semantic modeling, ontology, and unified semantic layer standards; build AI pipelines, evaluation frameworks, intelligent workflows, and MLOps capabilities. Implement responsible AI governance for regulated environments, partner with business and technical stakeholders, and mentor engineers and data scientists while influencing enterprise technical direction.

Supports HBM architecture research through AI workload analysis, performance modeling, simulation framework development, and trend dashboard creation. The intern analyzes bandwidth, latency, and memory requirements, researches compute and infrastructure trends, and collaborates with technical mentors on next-generation AI memory systems.

Designs and maintains data pipelines supporting monthly profitability close, automates manual finance workflows, and develops machine learning solutions for quality control, anomaly detection, and reconciliations. The role extracts and delivers financial data, prototypes LLM and agentic tools, and partners with Finance, Technology, and P&A on analytics initiatives. It also communicates technical methods and results to senior business stakeholders.

Leads enterprise email security strategy, architecture, engineering, modernization, and lifecycle management. Oversees phishing protection, threat detection, encryption, DLP, cloud security, incident response, risk remediation, governance, metrics, vendor relationships, and regulatory alignment. Partners with cross-functional stakeholders, presents to executives, leads engineering teams, and applies AI-enabled workflows to improve security analysis and operational effectiveness.

Leads the technology strategy and engineering organization for Capital One’s auto refinance business. Owns end-to-end lending technology, platform roadmaps, architecture, capital allocation, and multiple engineering teams. Responsibilities include modernizing distributed, event-driven systems; scaling automated funding and lien perfection; integrating real-time decisioning, data, and AI capabilities; automating compliance controls; and deploying resilient applications in cloud environments.

Serve as a senior Second Line of Defense cybersecurity risk partner, independently assessing cybersecurity controls, secure development practices, cryptographic strategies, AI governance, and technology risks. Provide risk opinions, challenge risk acceptance decisions, recommend remediation, and enhance cybersecurity frameworks, standards, policies, and governance. Engage with technical and executive stakeholders, monitor emerging threats and regulatory expectations, and support research and testing across a complex financial services environment.

Leads semiconductor CAD and EDA tool development, support, and enhancement. Develops and improves design, layout, simulation, and verification flows; applies AI and machine learning to engineering workflows; collaborates with design and process teams; and provides technical guidance, training, and documentation. Requires semiconductor design-flow experience, programming skills, IC CAD tool knowledge, and VLSI/CMOS fundamentals.

Leads development and enhancement of CAD and EDA tools, design automation flows, and verification methodologies for semiconductor engineering. Drives large-scale technical projects, integrates AI and machine learning into CAD workflows, collaborates with design and process teams, and provides training and technical support. Requires extensive semiconductor CAD/EDA experience, strong programming skills, IC design knowledge, and understanding of CMOS implementation tradeoffs.

Lead the design and implementation of Generative AI solutions for complex business challenges. Collaborate with data scientists, engineers, and product managers; conduct research; build prototypes; demonstrate concepts; oversee data processing and model development; and support implementation and optimization. Translate stakeholder needs into technical requirements, manage cross-functional relationships, communicate AI concepts, and apply project management practices to estimate timelines and coordinate dependencies.

Owns the Trade and Working Capital AI use-case portfolio from ideation through delivery and value realization. Translates business needs into technical requirements, prioritizes opportunities, coordinates with AI, data science, technology, data, and infrastructure teams, and drives adoption across product, commercial, and productivity applications. The role also leads AI literacy initiatives, aligns business priorities with enterprise governance and AI programs, manages multi-workstream delivery, and reports progress and realized value to senior stakeholders.

Develop Generative AI solutions for financial services using Python, PyTorch, LangChain, AWS, Spark, vector databases, multi-agent systems, and advanced RAG pipelines. Build, fine-tune, evaluate, validate, and deploy machine learning models across large numeric and textual datasets. Collaborate with data scientists, machine learning engineers, and product managers while translating technical findings into business outcomes.

Leads Card customer analytics and AI strategy, overseeing analytics leaders, data scientists, and analysts. Drives GenAI, machine learning, experimentation, personalization, competitive intelligence, and forward-looking analysis across product, pricing, marketing, and servicing. Partners with business and technical stakeholders to deliver responsible solutions from concept through production, while building organizational capabilities, developing talent, and influencing executive decisions.

Leads data ownership and governance for data products, defining metadata, quality, controls, integration, and risk mitigation. Partners with business, analytics, technology, and engineering teams to deliver curated datasets and production-ready solutions. Uses advanced SQL for validation and root-cause analysis, manages workstreams and staff, and supports analytics and machine learning use cases. Applies AI and LLM tooling to automate governance activities and maintains data integrity across regulated environments.