Top AI & Machine Learning Jobs

Develop analytics, automation, and compliance software using machine learning and data-driven methods. Responsibilities include exploratory data analysis, feature development, model evaluation, ML deployment and monitoring, data processing workflows, emerging AI technology research, and software development in Linux using Python, Java, or Scala. The role also requires collaboration with technical and mission stakeholders, documentation, and adherence to agency compliance standards.

Develop machine learning and AI methods for cybersecurity products using large-scale network telemetry. Analyze anomalies and malicious behavior, engineer features, evaluate models on imbalanced and incomplete data, establish monitoring metrics, and conduct error analysis. Collaborate with threat researchers and software engineers to productionize solutions, research emerging techniques, communicate findings, document methodologies, and mentor data scientists.

Build and productionize a Palantir Foundry analytics and predictive platform, including data pipelines, ontology, applications, governance, observability, and AI agent logic. Partner with client business and product teams to run discovery, define measurable outcomes, shape the product roadmap, and train internal engineers. The role requires end-to-end ownership, customer-facing consulting, executive presentations, and hands-on development with Python, SQL, LLMs, and AI agents.

Designs, develops, validates, and deploys computer vision and AI solutions for automated inspection, defect detection, process monitoring, and predictive maintenance in manufacturing plants. Integrates cameras, sensors, lighting, edge devices, and manufacturing equipment; leads proof-of-concept development, global deployments, vendor partnerships, documentation, and standardization. Engages plant and business stakeholders across regions to define priorities, develop roadmaps, and scale solutions.

Own the strategy, architecture, evaluation, and production deployment of Jerry.ai’s next-generation AI agents and workflow automation platform. Lead conversational agents, voicebots, computer-use agents, document validation, transaction orchestration, and external insurance-system integrations. Evaluate emerging AI technologies, make technical investment decisions, partner with engineering and OpenAI, and ensure systems meet requirements for reliability, latency, cost, regression prevention, and failure handling.

Develops fraud prevention rules and strategies using advanced analytics, statistics, structured and unstructured data. Manages fraud strategy projects, governance, data structures, stakeholder reporting, vendor relationships, and risk mitigation processes. Translates business requirements into analytical solutions, validates scalable analyses, monitors industry trends, and recommends strategies to business partners.

Owns Navitus’s enterprise AI governance and enablement program, including governance frameworks, risk assessments, compliance monitoring, use-case inventory, vendor AI evaluations, reporting, and committee operations. Partners with Legal, Compliance, Privacy, Security, IT, Engineering, and Learning Services to support responsible AI adoption. Leads proof-of-concept initiatives, develops policies and training strategies, tracks regulatory developments, mentors others, and presents governance insights and recommendations to leadership.

Design, build, deploy, and operate agentic AI systems, LLM tools, RAG pipelines, vector search capabilities, MCP connectors, and production data pipelines. Apply software engineering practices including testing, CI/CD, observability, and monitoring. Collaborate with scientific and business stakeholders to translate ambiguous needs into secure, governed technical solutions. Provide technical leadership in AI architecture, establish best practices, and mentor junior team members.

Supports NSWC Crane’s Model-Based Engineering Assessment Division through data science, modeling and simulation, mission engineering, RDT&E, and fleet-support work. Performs analytics, data mining, statistical and graph algorithm development, software integration and testing, ETL, API, and database-related tasks under government technical direction. Maintains quality, configuration-management, and security requirements. The role requires a master’s degree, 10 years of professional data science experience, and an active DoD Secret clearance or interim clearance.

Designs, configures, and deploys Agentforce agents and autonomous workflows within Salesforce Financial Services Cloud. Integrates agents with MuleSoft APIs, external data, and financial planning platforms; implements Einstein AI capabilities; and ensures security, compliance, and reliable agent behavior. The role also tests and monitors agents, mitigates hallucination risks, analyzes usage data, incorporates advisor feedback, and evaluates new Salesforce AI features.