Top AI & Machine Learning Jobs

Lead technical architecture and thought leadership for AI and enterprise workloads on Akamai’s cloud, edge, delivery, and security platforms. Advise customers and stakeholders, identify AI adoption opportunities, design scalable solutions, guide framework and technology selection, and collaborate with engineers, data scientists, Product Management, and R&D. Shape product roadmaps, provide technical guidance, analyze requirements and data, and develop strategic customer relationships.

Build backend systems that translate computer vision and machine learning outputs into interactive product experiences. Responsibilities include designing perception-to-product data contracts, shipping AI-generated geometry to a canvas, balancing accuracy with user experience, closing human correction loops, and bridging AI/ML and product engineering teams. The role requires Python and TypeScript, familiarity with PyTorch and model postprocessing, data contract versioning, and experience deploying computer vision or ML outputs in user-facing products.

Develop and deploy data science solutions for financial crime and fraud prevention. Responsibilities include understanding, cleaning, validating, and preprocessing client data; engineering features; tuning machine-learning models; optimizing runtime performance; communicating findings; collaborating with client stakeholders and internal teams; and improving data science processes, tooling, and best practices.

Analyzes complex datasets using statistical and machine learning methods to develop predictive models, visualizations, and actionable insights. Documents analytical methodologies, presents recommendations to senior stakeholders, and collaborates with IT, data engineering, and business teams to operationalize and scale data science solutions. Monitors and improves deployed model performance while supporting data quality, harmonization, modeling, and regulatory compliance.

Designs, develops, and improves AI and machine learning models for diverse R&D projects, including generative AI, predictive maintenance, data intelligence, and bioinformatics. Collaborates with technical teams and customers to define requirements, solve problems, conduct research, and deliver software solutions. Requires strong programming, analytical, mathematical, communication, and problem-solving skills, along with the ability to obtain and maintain a U.S. government security clearance.

Supports a natural gas trading desk through daily supply-and-demand reporting, data integrity monitoring, quantitative modeling, back-testing, scenario analysis, and data pipeline automation. The role partners with traders, data scientists, and strategists to identify trading signals, improve reporting tools, analyze market events, and document methodologies. Candidates need quantitative education, SQL and Python skills, commodity-market interest, strong communication, and attention to detail. This is an in-office position in Austin.

Develop, deploy, and maintain machine learning and deep learning algorithms for biosignal and brain data. Lead the full algorithm lifecycle, including requirements, data curation, modeling, validation, production deployment, documentation, testing, and maintenance. Apply DSP and statistical methods, improve internal ML tooling, introduce advanced model architectures, support regulatory-quality processes, present results to stakeholders, and collaborate with clients, clinicians, neuroscientists, and engineers.

Leads enterprise AI, data, automation, and emerging technology strategy. Owns data architecture, master data governance, data quality, privacy controls, AI governance, self-service analytics, automation standards, tooling, budgets, vendors, and a global team. Builds a data and AI center of excellence, establishes policies and training, delivers automation use cases, and partners with security, legal, compliance, architecture, and business leaders to scale responsible technology adoption.

Develops NLP and machine learning solutions for VA disability claims, extracting and structuring medical and claims data. Builds and maintains NLP pipelines, tunes transformer models, validates accuracy, documents workflows, collaborates with VA stakeholders, and integrates models into government systems. Requires healthcare or claims data experience, cloud familiarity, and the ability to communicate technical concepts effectively.

Build Pelico’s agentic platform end to end, developing Python backend services, React interfaces, agent tools, orchestration workflows, runtime reliability features, evaluation harnesses, and real-time approval consoles. The role involves shipping production AI capabilities, improving agent trustworthiness, defining technical specifications, and creating reusable full-stack engineering patterns for manufacturing customers.