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As an AI Build Engineer at Rackspace, you will work with a small team to build and market AI products using AWS technologies. You will develop initial platforms, finalize alpha products, and create demonstrable solutions in an agile environment, working both independently and collaboratively.
As a Senior Software Engineer on the AI Platform team, you will build modular distributed systems and integrate machine learning technologies. Your responsibilities include developing systems to understand user behavior, evaluating third-party services, and driving new features from prototypes to launch, all while collaborating closely with designers and infrastructure engineers.
The Integration Engineer will design and implement AI products, integrate workloads onto Red Hat platforms, and collaborate with engineering and partners to optimize performance with hardware accelerators. This role also involves staying updated on AI advancements.
As a Senior Integration Engineer, you will design and implement AI products, focusing on the integration of AI stacks with hardware accelerators. You will work with partners and customers to integrate workloads on Red Hat platforms, perform performance analysis, and stay updated on AI advancements.
The AI/ML Engineer will enhance and deploy AI/ML models to optimize clinical trial processes. Responsibilities include developing AI applications, integrating LLMs, maintaining data pipelines, and ensuring HIPAA compliance while significantly improving clinical operations.
The Principal - Data & AI Platform Operations is responsible for engineering and maintaining the data analytics platform. This role ensures the availability, performance, and security of data & AI infrastructure, while also coaching and managing team performance in the Data & AI Architecture and Delivery Team.
Seeking a motivated AI Engineer to join an AI/ML based project. Responsibilities include developing AI/ML solutions using Python, ensuring project functionality, and working with enterprise-level applications in C#. Must have Python, OOP, Git, and English proficiency. Preferable skills include AI/ML frameworks, C# programming, data preprocessing, and database knowledge. Additional qualifications in Quart, asyncio, and RPA tools are a plus. Benefits include paid vacation, flexible schedule, and opportunities for development.
As a Senior Staff Forward Deployed AI Engineer, you will work with enterprise customers to modernize applications and optimize performance using MongoDB products. You'll also evaluate and implement AI tools, prototype solutions, and contribute to MongoDB's product direction while collaborating with various technical teams.
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As a Senior AI Engineer, you will develop prototypes and microservices, create MLOps pipelines, automate processes, and support AI workshops. Collaborating closely with teams, you will implement AI-driven solutions to improve business workflows.
As a Senior Staff Forward Deployed AI Engineer, you'll work with enterprise customers to modernize applications and implement AI solutions, influencing MongoDB's product roadmap and leveraging cutting-edge technologies.
The Senior AI Research Engineer will develop and launch generative AI systems, create new models for 3D applications, maintain training scripts, and collaborate with cross-functional teams. The role requires expertise in AI research, model deployment, and clear communication of concepts to diverse stakeholders.
The Enterprise Data Architect will develop and manage database solutions to enhance information retrieval and storage, oversee system installation and configuration, analyze software requirements, migrate data, design data models, troubleshoot system issues, optimize database systems, and define security protocols, while supporting operational needs of Management Information Systems.
Develop and implement AI/ML solutions to optimize semiconductor design processes. Collaborate with cross-functional teams, participate in design reviews, and provide technical leadership in AI solutions for the semiconductor industry.
As a Staff Software Engineer in AI, you'll leverage your expertise in artificial intelligence to advance Spot AI's capabilities, designing AI-driven features for diverse physical environments. You'll integrate cutting-edge AI techniques to transform video data into actionable insights and ensure high-impact outcomes across products.
As a Solutions Architect at Anthropic, you'll advise enterprises on integrating Claude AI, working closely with Sales and Engineering to deliver technical solutions that align with business objectives. Your role involves evaluating customer needs, designing scalable architectures, and facilitating successful deployments of AI systems.
As an Applied AI Finetuning Engineer, you will customize frontier AI solutions for enterprise clients. Your role involves designing finetuning projects, collaborating with ML researchers, integrating AI into products, and advising customers on best practices. You will lead projects to enhance model performance while ensuring safety standards are met.
The Associate Principal Engineer will architect and deploy Salesforce technical solutions, leveraging expertise in Salesforce products including Sales Cloud and Einstein Dialog Flow. Responsibilities include writing high-quality code, translating business requirements into technical designs, mentoring team members, and ensuring adherence to best practices in system architecture and security.
The Principal Engineer, AI/ML will lead competencies in machine vision, NLP, and generative AI. Responsibilities include designing and fine-tuning machine learning models, deploying and monitoring models on the cloud, and ensuring scalable and robust systems and APIs.
The Technical Co-Founder will lead Bolinas AI in developing an AI-driven corporate travel assistant. Responsibilities involve defining technology strategies, building software prototypes, leading a team, and overseeing the integration of AI technologies. Strategic leadership and experience in building software from scratch are essential to drive the company's innovative solutions in corporate travel.
The Senior Analytics Engineer will lead the implementation and management of an AI-enabled contract lifecycle management system, optimize database systems, develop data pipelines, and oversee machine learning model deployment. The role involves collaboration with various teams to ensure data integrity and provide insights through reporting and dashboard creation.
Seeking a Senior Compiler Engineer for NVIDIA's Deep Learning Compiler Technology team. Responsibilities include technology development for kernel generation and optimizations for computational graphs for NVIDIA GPUs.
As a Senior Architect, you will design and implement advanced Generative AI systems focused on search and retrieval techniques. Responsibilities include leading project development, collaborating with teams to integrate solutions, conducting research, and optimizing algorithms for large-scale data retrieval.
As a Data Engineer, you will design and implement Generative AI solutions, build enterprise-scale applications, develop APIs, create data pipelines, and ensure compliance with international security standards. Collaborate with cross-functional teams to innovate and enhance customer experiences using advanced AI technologies in the insurance sector.
As an AI Engineer for spectral data modeling, you will leverage machine learning and AI techniques to analyze complex spectral datasets, develop predictive models, collaborate cross-functionally, and mentor junior staff while staying updated on the latest technological advancements.
As a Senior Manager in AI/ML Engineering, you will lead teams of machine learning engineers and data scientists to deliver scalable AI and machine learning solutions. You will advocate for engineering best practices, coach engineers, and drive innovative solutions to enhance Nike's supply chain with advanced analytics.
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