Top Artificial Intelligence Jobs

As an MLOps Engineer, you will scale machine learning products, manage training and deployment pipelines, and improve DevOps processes.

As an AI & Software Engineering Senior Manager, you'll lead a team in developing innovative digital marketing solutions using advanced technologies, including AI and the MERN stack. You will oversee a multi-year product roadmap, design scalable solutions, and mentor engineers while fostering a collaborative work environment.

The AI/ML SME will design and implement machine learning models for IT telemetry, collaborating with engineers and operators to enhance operational intelligence.

The Palantir Platform Engineer designs and implements automation solutions within the Revenue Cycle group, focusing on optimizing workflows and operational efficiency through Palantir's ecosystems.

The AI/ML DevOps Engineer will develop algorithms, build predictive analytics, and maintain CI/CD pipelines to support AI/ML initiatives for customers.

As a Senior AI Engineer, you will design AI solutions, collaborate with clients, write production code, and support business development.

The Senior Analyst will conduct research on AI governance, create reports, consult with clients, and promote research through various media while collaborating across teams to enhance AI applications.

Lead the development and implementation of AI solutions for enterprise customers, focusing on agentic AI systems, performance optimization, and customer engagement.

Design, develop, and deploy AI/ML models and pipelines, collaborate with engineers, and document for reproducibility. Requires strong Python and ML framework skills.

The IT and AI Readiness Coordinator role involves stakeholder engagement, process analysis, and data readiness for AI transformation in business operations.

The Product Manager will lead AI/ML product requirements, collaborate with engineering teams, and ensure product capabilities align with user needs while driving innovation and execution of AI solutions for Visa's platform.

Lead the development of AI-powered tools for a vertical SaaS platform, focusing on improving customer workflows and product delivery across teams.

Design and validate high-speed interconnects for AI systems, defining requirements and performing reliability testing for copper and optical technologies.

The Application Engineer will support automation in security evaluations, implement new processes, and integrate large language models into business systems with a focus on efficiency.

Design and govern machine learning and generative AI solutions, leading client engagements and assuring delivery quality using Azure and Databricks.

This internship involves collaborating on Data & AI initiatives, building no/low-code AI workflows, and supporting cloud AI experimentation.

As a Principal AI Engineer, you'll design AI systems for healthcare, collaborate with cross-functional teams, and enhance care delivery workflows.

As an Intern at Scout Motors, you'll assist with data management, governance policies, developing ETL/ELT pipelines, and collaborate with cross-functional teams, while gaining hands-on experience in the automotive industry.

As an intern at Scout Motors, you will collaborate with cross-functional teams to enhance data workflows, develop governance policies, and document data management processes. You will gain hands-on experience in the electric vehicle industry while applying analytical and problem-solving skills.

The Senior Architect will lead the integration of AI technologies across projects, design scalable architectures, and mentor teams while influencing technical standards and aligning with business objectives.

As a Senior Applied AI Engineer, you will build and deploy full-stack AI solutions, mentor engineers, and lead AI system architecture while contributing to Komodo's AI-first culture.

As an Applied AI Engineer, you'll design and deploy end-to-end AI solutions, working with product and data teams to enhance healthcare data usage and AI capabilities.

The Senior Scientist in AI Applications will develop AI/ML solutions in oncology, focusing on multimodal reasoning and agent architectures to enhance drug discovery and clinical trials.

The Principal Architect leads AI-focused projects, designing and optimizing HPC and AI platforms, ensuring successful implementation and customer satisfaction, while serving as a technical authority.

The Principal Architect leads AI-focused engagements, designing and implementing GPU-accelerated HPC systems while optimizing and troubleshooting high-performance infrastructures. They serve as a technical authority and ensure successful integrations across Compute, Networking, and Storage.