Top AI & Machine Learning Jobs

Lead end-to-end data science projects to enhance Parafin's underwriting engine by developing predictive models, optimizing pricing, and collaborating with engineering teams.

Lead enterprise AI workflow adoption for fashion and retail customers: assess workflows, build scalable playbooks and enablement, run workshops and trainings, advise executives on operational change, and influence product and roadmap through customer insights.

As a Research Engineer, you'll design and implement AI architectures, methods, and strategies, translating research into practical applications.

Design and deploy production-grade LLM-powered workflows, internal tools, and automations to improve recruiting, security/compliance, finance, operations, CRM integrations, and GTM processes across the company.

Develops production-ready AI-native applications, agentic workflows, and cloud infrastructure supporting nuclear engineering. Responsibilities may focus on full-stack development, agentic AI, data and systems integration, or platform infrastructure and DevOps. The role involves LLMs, AWS services, engineering data platforms, digital-thread workflows, regulated software quality, system integrations, documentation, testing, and collaboration with systems engineering, licensing, and quality teams.

Lead end-to-end development, deployment, monitoring, and governance of production risk-based pricing and credit models. Perform EDA, feature engineering, model validation, A/B testing, and partner with DevOps/Product/Engineering to ship ML services and maintain model lifecycle, using modern AI/LLM tooling to accelerate work.

Architect and deploy AI-enabled decision-support platforms across Palantir Foundry, Army Vantage, Azure, SharePoint, and Power Platform. Design ontologies, applications, data pipelines, dashboards, and LLM-powered agents with citation, confidence scoring, and human review. Lead classified NIPR-to-SIPR deployments, governance, testing, accreditation coordination, and architecture decisions. Integrate React, Python, and Foundry Functions while briefing technical recommendations to senior military leadership and supporting Army experimentation and modernization events.

Leads AI enablement and adoption for eDiscovery and litigation workflows. Designs and implements AI solutions, evaluates tools, manages testing and vendor coordination, analyzes user feedback and adoption metrics, develops workflow recommendations, and creates training and best-practice resources. Serves as a subject-matter expert for AI-enabled eDiscovery tools and partners with attorneys, project managers, IT, knowledge teams, and vendors to deploy scalable solutions.

Lead the deployment funnel for AI and automation solutions, develop workflow automations, manage data connections, and maintain reusable data models. Translate documented business processes into technical solutions while supporting project managers and cross-functional teams. Ensure governance, data integrity, query performance, and data quality. Use AI coding assistants and prompt engineering tools to accelerate development, and conduct analyses, impact assessments, and documentation for automation initiatives.

Leads Timex Group’s enterprise AI transformation by prioritizing AI opportunities, establishing governance and operating models, accelerating cross-functional adoption, redesigning processes, and measuring business value. The role influences executives and regional teams, coordinates business and IT stakeholders, builds organizational capability, evaluates emerging AI technologies, and ensures responsible, ethical, and compliant adoption across the global organization.