Top Software Engineer Jobs
The Senior Architect - Data Management & AI will lead the design and evaluation of enterprise-wide technology solutions, ensuring alignment with business goals and architectural standards. This role involves collaboration with various teams, translating technical requirements into architectural blueprints, and providing expertise in the Commercial Data Management and Analytics solution space. The architect acts as the primary liaison between business units and vendors while ensuring compliance and producing technical documentation.
The Director of AI Engineering is responsible for leading a team focused on building and implementing Gen AI and AI products. The role involves mentoring engineers, ensuring successful project delivery, driving innovation, and promoting ethical AI practices across global teams, while aligning with McDonald's business strategies.
As an AI Engineer Sr. Associate, you will partner with cross-functional teams to deliver AI-powered products, design and support AI software components, utilize Open Source and SaaS AI technologies, and contribute to the technical vision of foundational AI systems.
As Sr. Director of Data, Analytics, and AI at NinjaTrader, you will lead efforts in data infrastructure, data science, business intelligence, machine learning, and AI. Your role involves managing a team, executing the technical roadmap, ensuring data governance, and fostering collaborations across departments to support data-driven decision-making and enhance user experience.
The Senior Perception Software Engineer will design integrated machine learning solutions for perception systems, build software infrastructure for learning algorithms, and solve large-scale challenges in machine learning development while ensuring safety in operations. This role requires a deep understanding of machine learning and experience in safety-critical sectors.
As a Senior Leader at Axtria, you will lead transformational projects in cloud data management and analytics for life sciences clients, ensuring delivery excellence and strategic client engagement while fostering client relationships and driving innovation in technologies such as AI and cloud platforms.
The AI Integrations Software Engineer will integrate AI models into existing Vetcove products, optimizing user experience and enhancing features with Python and Django. Responsibilities include evaluating AI models, developing new features, testing performance, and collaborating with the engineering team.
The position involves leading a team to create innovative technology that integrates natural language processing, big data, and artificial intelligence to enhance digital communication. The candidate should have extensive experience in relevant fields and demonstrate leadership and collaboration skills.
Featured Jobs
The Sr. Software Architect will lead the design and development of scalable infrastructure for data management across on-prem and cloud platforms, integrating analytics and AI OPS to enhance system performance. Responsibilities include collaborating with cross-functional teams and monitoring industry trends to improve infrastructure solutions.
The Senior Azure AI Architect will design and implement secure, scalable cloud solutions leveraging AI and machine learning. Responsibilities include creating architectures, integrating AI models, optimizing cloud performance, and collaborating with cross-functional teams to deliver high-quality solutions.
As an AI Engineer III, you will develop AI/ML solutions, prototyping new products, creating data pipelines, and ensuring the reliability and accuracy of AI systems in production. This role involves collaboration across teams and guidance for junior engineers, ensuring agile development practices, and maintaining thorough documentation.
As a Hardcore Engineer, you will build distributed systems for training large AI models, develop environments for agents, and optimize frameworks for data processing and inference. You will collaborate on complex engineering tasks and enhance AI model capabilities.
As a Principal Engineer in the ML/AI Platform team, you will design and maintain scalable machine learning platforms, develop reusable frameworks for model deployment, advocate for advanced technologies, and mentor team members while enhancing operational efficiency.
The Applied AI Finetuning Engineer will develop tailored LLM solutions for clients, collaborating with various teams to integrate AI into their products, execute finetuning projects, and serve as a technical advisor on best practices for deployment.
The Manager of AI and Data Engineering will lead a team of data engineers and scientists, build real-time data pipelines, and apply advanced technologies for AI research. Responsibilities include partnering with teams to ensure quality data management and advising leadership on data strategies, while also driving innovation and best practices in AI.
As a Senior Manager, Network Systems Engineer at Arista, you'll lead a team, act as a trusted advisor to customers for solutions in network architecture, and collaborate with account managers on technical proposals and product presentations. You'll focus on leveraging cutting-edge technologies in a hands-on capacity with customers, primarily onsite in Seattle.
The Network Systems Engineer will provide pre-sales technical support to clients, partnering with account managers to address requirements and opportunities. Responsibilities include conducting network architecture reviews, presenting Arista solutions, designing network proposals utilizing leaf-spine architectures, conducting proof-of-concept tests, and developing design guidelines for customer networks.
The AI Software Developer is responsible for researching, designing, and building AI/ML solutions. Key tasks include developing applications and APIs, integrating AI/ML technologies, and collaborating with teams to identify integration opportunities while improving AI/ML model functionality.
As a Senior Solutions Architect, you will lead proposal and technical teams in developing innovative solutions for government bids, ensuring compliance with RFP requirements. You'll manage the entire capture process, contribute to proposal materials, and guide clients in defining their technology needs while leveraging your extensive experience in system design and architecture.
The AI Solution Lead/Architect will design and implement AI frameworks utilizing Azure technologies, lead AI projects ensuring quality and cost-effectiveness, collaborate with data professionals, develop machine learning solutions, and provide technical expertise in AI model integration and deployment across IT systems.
As an AI for Code Research Scientist, you will improve models and research for real-world problems by prototyping concepts and running experiments, collaborating with a team to drive foundational research direction.
As an AI Research Scientist focusing on engineering and operations, you will bridge theoretical research and practical implementation of AI technologies. Your work will involve developing machine learning models, managing server infrastructure, writing code for AI applications, and collaborating with cross-functional teams to generate actionable insights from complex data sets.
The Data Engineer will be responsible for building data pipelines and infrastructure for ML models, analyzing data processing requirements, troubleshooting production issues, and collaborating with different teams at Stanford Health Care. Preferred skills include knowledge of multiple programming languages, resource management, and a collaborative mindset.
The Data Scientist will develop and implement AI and ML models to improve patient care and administrative services. They will collaborate with clinicians and researchers, evaluate healthcare data tools, and ensure the safe application of machine learning algorithms in clinical settings.
The Technical Lead II in the Operations Hub focuses on leveraging data-driven AI products to enhance customer experience. This role involves leading a small engineering team, collaborating with various departments, and fostering technical innovation. The lead will ensure product reliability and support team growth while maintaining a customer-centric approach.
Top Companies Hiring Developer + Engineer Roles
See All
All Filters
No Results
No Results
