Machine Learning Jobs in Plano, TX

Lead relationships with large self-insured employers to deliver healthcare data analytics solutions. Act as primary client contact, translate analytics into actionable recommendations, coordinate cross-functional teams, manage implementations and deliverables, present insights to executives, and identify opportunities to improve client programs and drive business growth.

Lead AI/ML-focused information security for enterprise agentic capabilities. Advise projects and CSOC teams on threat mitigation, compliance, automation, monitoring, and incident response. Partner with engineering and stakeholders to secure cloud, generative AI, and customer servicing platforms while driving data-driven decisions and continuous improvements.

The Senior Product Owner leads product development for Mainframe solutions at Broadcom, collaborating with cross-functional teams to deliver features based on customer needs and product roadmaps.

Lead design, enhancement, and maintenance of the bank's data warehouse and analytical platforms. Drive data engineering best practices, support ML/predictive capabilities, manage production issues, automate processes, collaborate on feature design, and mentor engineering teams while partnering with PMO on Agile delivery.

Lead vision, strategy, and roadmap for Open Mainframe Solutions (Zowe and related tools). Advocate customer needs to R&D, prioritize features, unblock cross-functional teams, drive GTM and adoption, measure KPIs, and maintain executive and customer relationships to ensure product success.

Lead systems engineering for ISR/aviation programs, owning requirements engineering, MBSE, systems integration, V&V, architecture, technical planning, risk management, lifecycle activities, and mentoring senior engineers to deliver mission systems.

Deploy, maintain, and improve production ML workflows and platforms for media measurement and customer analytics on AWS. Build SageMaker jobs and endpoints, orchestrate pipelines with Step Functions, Lambda, and Airflow, manage model artifacts and CI/CD, troubleshoot production issues, and collaborate on platform enhancements and operational best practices.

Design, develop, and deploy scalable machine learning models and data pipelines for production. Collaborate with data scientists, engineers, and stakeholders, optimize model performance and scalability, automate deployments, monitor production systems, and evaluate emerging ML and cloud technologies to drive 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.

Executive leader responsible for driving value from MarTech, data, and AI to modernize P&C marketing. Owns audience strategy, lifecycle design, journey orchestration across channels (email, SMS, calls, onsite), testing and optimization, vendor/third-party risk, and capability roadmaps. Builds and leads teams, partners with centralized MarTech and stakeholders, briefs C-suite, and ensures compliance with regulatory and risk frameworks.

Design, train, and deploy production-grade reinforcement learning systems. Build simulations, implement RL algorithms (online/offline), engineer rewards, ensure safety, scale distributed training, evaluate robustness, monitor production policies, and collaborate with product teams to translate RL research into stable, deployable solutions.

Design, build, and operate high-performance model serving platforms for LLMs, vision, and recommendation models. Optimize inference (batching, caching, GPU utilization), implement routing, autoscaling, observability, security controls, deployment workflows, and incident response. Collaborate with ML and product teams to support model releases and reliability improvements.

The Business Development Specialist will identify sales opportunities, conduct market research, develop business strategies, and build customer relationships to achieve sales targets in data and AI solutions.

Design, develop, test, and support scalable AI-enabled applications and services. Implement LLM, Generative AI, and RAG capabilities, build RESTful APIs and microservices, automate CI/CD and testing, perform code reviews, troubleshoot production issues, and collaborate with product and architecture teams in Agile delivery.

Develop and deploy end-to-end ML solutions for smart manufacturing: build data pipelines, feature engineering, CV and LLM-based models (RAG/agentic workflows), prototype and productionize models, implement monitoring/retraining, and collaborate with cross-functional teams using modern development and CI/CD practices.

Design and deploy scalable machine learning models, analyze data, and improve model performance in a collaborative environment.

Lead high-impact AI/ML projects in the automotive domain, overseeing technical strategy, project execution, and client management, while mentoring junior team members.

Lead design and implementation of agentic AI/ML solutions and modern software (APIs, microservices, CI/CD, streaming) on cloud platforms. Bridge legacy IBMi AS400 systems with modern AI, train and fine-tune models, oversee lifecycle, mentor engineers, set technical direction, and improve automation and testing across claims adjudication systems.

Design and implement high-performance APIs and microservices using Python and AWS, focusing on generative AI and scalable applications.

The Senior Machine Learning Engineer will design and deploy ML models, analyze large datasets using PySpark, and collaborate across teams in a cloud environment.

Design, develop, test, deploy, maintain, and enhance large-scale software solutions. Provide technical leadership and manage project priorities. Fine-tune foundation models and build adapters (Llama Factory, PEFT). Apply RAG techniques to populate and query vector databases (Weaviate). Build custom applications using LLM frameworks such as LangChain and DSPy.