Top Machine Learning Jobs in Leon

Deploy, configure, tune, and support CrowdStrike Falcon AI/ML detection and response capabilities. Optimize ML models, build automation playbooks, integrate AI into customer workflows, develop Falcon API scripts, support incident response and threat hunting, and deliver AI training and customer-facing collateral. Travel up to 25%.

Lead end-to-end supply chain transformation engagements, advising executives and directing multidisciplinary teams to improve planning, procurement, logistics, inventory, and supplier performance. Design future-state architectures, build business cases, drive implementation, grow client relationships, and scale practice capabilities while delivering measurable operational and financial impact.

Lead end-to-end supply chain transformation engagements for commercial and utility clients. Advise executives, design future-state supply chain architectures, oversee implementation across planning, procurement, logistics, and analytics, build financial value cases, and manage multidisciplinary teams to deliver measurable operational and financial results.

The Director of Research will lead DataLab at Protege, defining the research agenda and managing a high-performing team focused on AI data challenges and methodologies.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

Lead statistical activities for clinical trials from protocol design through reporting. Provide statistical oversight, collaborate with cross-functional teams and CROs, apply SAS/R (and ML) for analyses, automate processes, and mentor junior statisticians.

Design, develop, and maintain OTBI/BI reports and dashboards in Oracle HCM. Translate business needs into scalable reporting, ensure data accuracy, support AI-driven people analytics, automate reporting workflows, resolve reporting tickets with IT/HR stakeholders, and document standard operating procedures.

This role involves leading strategic planning, product innovation, and cross-functional collaboration to enhance pharmacy analytics and drive growth initiatives for CVS Health.

Create and review realistic, locale-specific robotics and natural sciences tasks in Spanish (LATAM), apply scoring rubrics, evaluate AI and human responses for accuracy and regulatory alignment, and produce gold-standard solutions and expert feedback.

Design, build, and maintain production-grade ML systems for large-scale legal NLP datasets. Develop and orchestrate ML/AI agents, prototype solutions, collaborate with cross-functional teams, and work with legal data annotators to improve data quality and drive product-focused outcomes.

The Account Executive will develop and close business opportunities, achieve sales quotas, and collaborate with cross-functional teams within the enterprise market.

Design and implement Azure-based CI/CD pipelines (YAML) with quality gates, automate infrastructure provisioning (ARM/Terraform), manage Kubernetes/OpenShift deployments, integrate tooling (SonarQube, JFrog, Git), script automation tasks, troubleshoot app-service interactions and AAD integrations, and support release and deployment processes.

Build, maintain, and improve programming solutions and AI/ML applications to automate workflows, analyze operational data, and optimize processes. Collaborate with cross-functional teams, maintain operational systems, and document technical procedures to support reliable, scalable operations.

As a Data Scientist at Zicasso, you will analyze complex datasets, develop predictive models, and optimize customer experiences using AI and machine learning techniques, while collaborating with cross-functional teams.

Implement, maintain, and troubleshoot Workday integrations and HCM configuration. Design AI-powered automation and validation for HR processes, build custom reports and dashboards, ensure data quality, collaborate with HR/payroll/talent and external vendors, and support deployments and user documentation.

Advise clients on antitrust eDiscovery compliance using machine learning and generative AI. Build and validate TAR/AI models (Epiq AI, Relativity, Reveal, Brainspace), craft LLM prompts, draft defensible protocols, train/transfer workflows to review teams, and support client-facing, pre-sales, and thought-leadership activities. Must manage multiple projects and meet deadline-driven schedules.

Lead Felix's global pricing strategy and infrastructure. Define monetization trade-offs, run advanced pricing experiments and elasticity research, partner with Finance on unit economics, and collaborate with Engineering to build automated/ML-driven pricing engines while keeping pricing transparent and user-friendly.

The Global Privacy Counsel will lead the data protection strategy for TaskUs, ensuring compliance with global privacy laws, overseeing privacy initiatives across product development, managing third-party vendors, and leading the privacy team.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Lead development and optimization of composites molding processes, execute engineering test plans, apply SPC and data analytics for root-cause and capability improvements, collaborate across Technology, Quality, Production, and Customers, mentor engineers, and implement manufacturing readiness and automation technologies. Requires on-floor presence and up to 25% travel between US and Mexico.

The Machine Learning Researcher will design datasets and evaluate environments for agentic systems, focusing on data quality and benchmarking model performance in RL settings. They will collaborate with teams to translate workflows into evaluative frameworks and improve the understanding of high-quality datasets.

The Senior Machine Learning Engineer will build and optimize ML systems for CRM marketing, collaborating with cross-functional teams to impact customer engagement and product functionality.

Design, train, and refine machine learning algorithms on high-dimensional data to produce practical predictive models. Apply random forests, deep learning, generative modeling, and neural-network techniques to improve NLP and machine perception for real-world applications.

Design, build, and maintain scalable data pipelines, vector stores, feature stores, and LLM-driven workflows. Implement RAG, prompt engineering, model fine-tuning, and managed LLM deployments on cloud. Optimize big-data processing, enable real-time inference, build analytics/NL query dashboards, document processes, and partner with stakeholders to translate requirements into production BI/ML solutions.

Design, build, and maintain production-grade ML systems and AI agents for large-scale natural language data. Prototype and evaluate models, collaborate with cross-functional teams, and deliver data-driven solutions addressing legal and business problems.