Top Artificial Intelligence Jobs in Pittsburgh, PA
The Senior Staff Software Engineer will drive the direction of the LLM Products, overseeing large-scale projects, mentoring engineers, and establishing scalable system architectures. Responsibilities include leading technical designs, fostering a culture of excellence, innovating data generation methods, and collaborating with cross-functional teams to deliver strategic initiatives.
As an Executive Assistant supporting the CEO, you will manage the executive calendar, prepare internal and external communication, coordinate schedules, and provide administrative support. You will engage with senior executives and external partners, prioritize competing demands, and ensure smooth operational functions across teams.
As a Senior Full-Stack Software Engineer, you will design, develop, and maintain scalable full-stack applications, build APIs and microservices, and collaborate with teams to drive project success while ensuring code quality through automated tests and reviews.
As a Strategic Fraud Analyst, you will design and implement fraud prevention strategies, analyze fraud patterns, collaborate with cross-functional teams, and support customer fraud strategies. You'll also produce reports on fraud trends and stay informed about financial fraud developments.
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The Principal Data Engineer will design and maintain ETL pipelines, collaborate with teams on data integration, implement data transformation logic, and ensure data quality. The role requires strong organizational skills, a focus on data governance, and experience working with large datasets and ETL technologies.
The role involves working with the Customer Data Engineering team to develop and maintain data ingestion pipelines, ensure data quality, enhance internal frameworks, and write maintainable Clojure code, while also providing code feedback to teammates.
The Technical Account Manager will be the primary contact for major AI-focused customers, helping resolve technical issues related to Nebius Cloud services and managing large-scale AI deployments. This role involves customer support, sales collaboration, product liaison, and stakeholder management.
The Associate Principal Engineer, Cloud will focus on cloud architecture, designing solutions based on client requirements, and ensuring best practices across cloud environments. Responsibilities include writing code, conducting workshops, managing cloud solutions, and developing guidelines for project implementations.
As an Associate Staff Consultant, you will translate clients' digital marketing goals into actionable strategies, conduct technical SEO audits, analyze and report using various SEO tools, and provide recommendations to improve site visibility and organic traffic. You will also stay updated on industry trends and communicate with multiple teams for data-backed decision-making.
The Associate Principal Engineer will lead the development of data engineering solutions, converting client requirements into technical designs, mentoring developers, ensuring adherence to best practices, and conducting POCs to validate designs. Responsibilities include guiding project implementation, reviewing architecture, and resolving technical issues.
The DevSecOps Engineer will develop secure, end-to-end lifecycle solutions in cloud environments using Kubernetes or Docker. Responsibilities include building and maintaining CI/CD pipelines, applying GitOps for automation, implementing security best practices, and leveraging AWS and other cloud services. The role requires collaboration for containerized solutions and ongoing monitoring for system optimization.
The Senior Software Engineer will support the development of a platform for the DoD that enables operators to train custom computer vision models. Responsibilities include creating APIs, managing databases, and working within cloud-native environments, with a focus on data ingestion and model serving.
The Senior MLOps Engineer will support the development of a real-time data platform for the Department of Defense, focusing on deploying ML infrastructure, building MLOps pipelines, and enhancing systems that process billions of events daily. The role requires collaboration with a team to ensure efficient data handling and operational decision-making.
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As an Enterprise Account Executive, you will lead the sales process in the Insurance vertical, developing opportunities and managing the sales cycle. Responsibilities include prospecting, conducting demos, negotiating, and maintaining sales forecasts, while contributing to the sales playbook.
The Product Marketing Manager will drive product lifecycle strategy, collaborate with cross-functional teams, conduct market research, and analyze product performance data to optimize marketing strategies and ensure product-market fit.
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