Top Artificial Intelligence Jobs in Pittsburgh, PA
The Senior Customer Success Manager at Seamless is responsible for retaining and expanding strategic accounts, driving growth, product adoption, and ensuring customer satisfaction. Responsibilities include leading renewal processes, developing strategies for account growth, conducting regular account reviews, and leveraging outreach to promote customer health while addressing any issues proactively.
The Technical Project Manager will oversee the development process, ensuring timely product delivery while collaborating with engineering, research, and product teams. Responsibilities include project tracking, documentation, risk mitigation, and stakeholder engagement to achieve project goals.
The D365 F&O Senior Finance Consultant is responsible for implementing and configuring Dynamics 365 ERP Financial modules, conducting gap analysis, producing design documents, and mentoring junior consultants while ensuring customer satisfaction and project success.
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The Implementation Consultant I oversees dealership training and support during the implementation lifecycle, providing DMS training and managing implementation risks. Responsibilities include fostering relationships with dealership personnel, guiding implementation specialists, and ensuring a successful training program completion while adapting to fast-changing SaaS solutions.
As a Machine Learning Engineer, you will design and develop AI and machine learning applications for clients, conducting experiments and collaborating with engineers to create scalable solutions while engaging in client-facing activities and staying updated on machine learning advancements.
As a Sr. Software Engineer at Apartment List, you will develop high-availability services for marketplace operations, focusing on performance and scalability. You'll collaborate with Data Science teams and optimize search algorithms while implementing engineering best practices. Your role includes building backend services in Go and Ruby, and frontend applications in Typescript and React.
As an Engineering Manager, you will lead a team of software engineers, focusing on task planning, productivity improvements, and team development. You'll ensure successful project execution, collaborate with product teams, and communicate effectively with stakeholders while contributing to the codebase primarily in Python and Typescript.
The VP of Platform Engineering will lead the creation of a scalable Data and AI platform within the healthcare sector. Key responsibilities include ensuring integration across applications, architecting cloud-native solutions, implementing DevOps practices, and driving AI innovations, all while adhering to healthcare regulations and best practices.
The Full Stack Software Engineer will focus on scaling backend systems and building infrastructure for handling complex clinical datasets. Responsibilities include collaborating with a diverse team to deliver on projects, learn rapidly, and tackle production challenges in a startup environment.
As a Solutions Architect at Snowflake, you will engage with customers to optimize, accelerate, and achieve business outcomes using technical leadership and expertise. Responsibilities include advising on platform implementation, developing solution architectures, and guiding decision paths to ensure impactful outcomes. The ideal candidate will have a background in computer science or related fields, extensive experience in analytics projects, and proficiency in SQL, Python, and other relevant technologies.
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