You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver polished solutions. Your role will involve owning the full development lifecycle and continuously improving AI-integrated applications.
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Build and deploy full-stack applications that incorporate machine learning models and develop APIs and backend services for intelligent features. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
As a Founding AI Engineer, you will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. You will own the full development lifecycle, from architecture and testing to deployment and monitoring.
As a Founding AI Engineer, you will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. You will own the full development lifecycle, from architecture and testing to deployment and monitoring.
Build and deploy full-stack applications that incorporate machine learning models and develop APIs and backend services for intelligent features. Collaborate with cross-functional teams to deliver polished, end-to-end solutions while continuously improving application performance and usability.
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Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
You will co-manage the startup and lead the technical strategy, focusing on hands-on development and prototyping of robotics automation solutions. Additionally, you will recruit and mentor an engineering team while integrating physical AI with hardware to ensure product scalability.
The role involves coordinating agile testing activities, validating functional application flows, and managing the defect lifecycle. You will also create and execute functional and regression test scenarios while leveraging Gen AI to analyze requirements and identify potential risks.
You will co-manage the startup and architect the robotics automation platform by integrating physical AI with hardware. Your role involves leading the engineering team, defining the technical roadmap, and ensuring the product meets market needs through rapid iteration.
German-Speaking Customer Success & Development Specialist
Deloitte - Recruitment
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Full Time
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4 Weeks Ago
Deloitte - Recruitment
Support corporate customers through software deployments, migrations, and identity projects to maximize software investment value. Coordinate between internal teams and customer IT departments to ensure successful technology adoption and risk reduction.
The role involves acting as a quality advocate within an agile team to develop test plans, execute manual and automated tests, and track defects. Responsibilities include collaborating with engineers and product managers to ensure high-quality software delivery and monitoring CI/CD pipelines.
Lead the technical direction and implementation of AI-powered workflows and coding agents within the CLion IDE. Design architectures for C++ specific AI capabilities and build evaluation frameworks to benchmark AI-assisted development.
Develop software infrastructure and algorithms to transform raw part designs into manufacturable 3D representations. Build high-performance geometry pipelines and tools for geometric healing, simplification, and manufacturability analysis.
Design, build, and operate robust CI/CD pipelines and development environments for critical financial systems. Focus on automation, infrastructure reliability, and secure software delivery in collaboration with global teams.
Développeur·euse plateforme senior - Senior Platform Developer
TobogganLabs
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Full Time
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15 Weeks Ago
TobogganLabs
Design and implement cloud infrastructure and backend systems while managing deployment automation and CI/CD pipelines. Collaborate with multidisciplinary teams to develop software features and provide technical project management for client deliverables.
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The designer will help define and build next-generation CPU networking architecture for both datacenter and emerging robotics/automotive applications, contributing to current datacenter networking efforts while seeding future low-power robotics/automotive devices. This involves working at the intersection of NoC, performance modeling, and RTL design to guide architectural decisions for AI/ML compute and sensor ingest.
Lead a global team of fifteen DevOps engineers and develop and implement DevOps strategies aligned with company goals. Establish best practices for infrastructure automation and drive automation initiatives to streamline operational tasks.
The QA Engineer will be responsible for testing, identifying and writing automated test cases, analyzing requirements, creating test plans, and tracking issues. This role involves working closely with developers to improve overall software quality and provide recommendations for improvement.
Conduct candidate technical vetting by reviewing assessments and conducting technical interviews. Provide feedback and collaborate with the product team to improve the vetting process.
You will be accountable for your technical roadmap and responsible for your team, helping them grow as engineers and ensuring they do important and satisfying work. You will lead, challenge, and develop strong engineers while facilitating technical delivery and working on strategy and execution.
You will be accountable for your technical roadmap and responsible for your team, helping them grow as engineers and do important work. You will lead, challenge, and develop strong engineers while facilitating technical delivery and working on strategy and execution.
The GNC Engineer will design, integrate, and test flight control systems and mission-critical software for unmanned aerial systems. Responsibilities include developing guidance and navigation algorithms, performing hardware-in-the-loop simulations, and participating in the full software life cycle from concept to flight test.
You will design and develop test systems and procedures for manufacturing processes while maintaining test software and infrastructure. You will also collaborate with cross-functional teams to ensure hardware products meet rigorous quality and reliability standards.
The role involves architecting, deploying, and scaling enterprise AI/ML solutions while providing technical leadership across the machine learning lifecycle. You will collaborate with stakeholders to design scalable infrastructure and optimize large-scale PySpark workloads for performance and cost efficiency.
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The Senior Analyst will provide production support for critical PBM business applications by troubleshooting technical issues and performing root cause analysis. They will collaborate with cross-functional teams to implement code fixes and contribute to ongoing application enhancements and stability improvements.
You will lead the orchestration consolidation to Dagster and develop custom dbt-core infrastructure to support reliable data pipelines. Additionally, you will mentor junior engineers and build tooling that enables data teams to scale their workloads efficiently.
Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. Design and execute performance studies to establish baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment.
Backend Engineer, Solving
Relay (Uneven Labs, Inc.)
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Full Time
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6 Days Ago
Relay (Uneven Labs, Inc.)
You will build and own software that generates quotes, routes trades across on-chain and off-chain venues, and fills user requests. Additionally, you will extend support to new chain VMs by writing and auditing on-chain contracts while ensuring protocol reliability.
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