Lead the ML Training & Serving team to define and execute the roadmap for model deployment, GPU infrastructure, and low-latency serving. Manage and coach platform engineers while ensuring the operational health and reliability of ML infrastructure.
Remote Software Engineering Jobs (2,836)
Tags = software-engineering
Design, develop, and deploy scalable AI and machine learning models to enhance automation and analytics within the leave management platform. Collaborate with cross-functional teams to implement MLOps best practices and ensure ethical AI standards are maintained.
Drive product development and innovation by providing standardized enterprise solutions for cloud infrastructure and application deployment. Develop a library of frontend and backend integrations to enhance the data platform and customer experiences.
Own the end-to-end administration and development of the Zoho CRM platform, including maintaining existing automations and building new capabilities. Partner with product managers and stakeholders to translate business requirements into technical CRM configurations and data models.
Design, develop, and test applications and components following technical programming standards to ensure reliability and service commitments. Collaborate with colleagues to improve application performance, user experience, and reporting capabilities to support business needs.
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Working Student Software Development - HealthTech (all genders)
PLANFOX GmbH
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Internship
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6 Days Ago
PLANFOX GmbH
Develop and maintain UI end-to-end tests using Playwright to automate critical user journeys and regression scenarios. Continuously improve the UI test infrastructure, including test utilities, fixtures, and page objects.
Design, develop, and maintain custom IAM applications and automation to support secure identity lifecycle management and access controls. Collaborate with cybersecurity and business stakeholders to integrate IAM platforms across enterprise systems like Okta, Salesforce, and AWS.
Build and lead high-performing engineering teams focused on Governance & Observability or License & Billing. The role involves coaching engineers, aligning with product stakeholders, and maintaining technical quality in a fast-paced AI-native environment.
Build and maintain backend services and frontend features while designing reliable APIs and business workflows. Leverage AI tools to navigate complex codebases and take end-to-end ownership of feature implementation and deployment.
software development engineer professional
Brightstar Lottery
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Full Time
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6 Days Ago
Brightstar Lottery
Translate Game Design Documents into testable rules and constraints for iLottery products. Build and maintain validation tooling and automation pipelines to generate error lists and datasets.
Staff Machine Learning Engineer (Open to Remote)
Triumph Financial, Inc.
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Full Time
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6 Days Ago
Triumph Financial, Inc.
Lead the design, deployment, and integration of scalable ML systems to process unstructured document data. Collaborate with cross-functional teams to deliver impactful AI solutions that meet strict latency and precision requirements.
Staff Software Development Engineer (myPBM Strategy & Operations Lead)
CVS Health
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Full Time
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6 Days Ago
CVS Health
This hybrid role drives technical execution and organizational effectiveness by leading the design of scalable web applications and cloud solutions. The lead also manages strategic planning, operational governance, and executive reporting to align technology investments with business outcomes.
Develop and maintain backend systems and user interfaces for the Unified Case Management system using test-driven development. Design APIs, data models, and scalable data interactions to improve healthcare program integrity and combat fraud.
![Metal Toad is hiring for remote Full-stack Developer [Talents Bench]](/assets/97a60999-3f56-4861-8303-851eeef5b627.jpeg){kind=small}
Develop high-performing, scalable enterprise-grade applications across the full development lifecycle. Collaborate with project managers and clients to define requirements and provide technical estimates.
Software Engineer
Navitus Health Solutions, LLC
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Full Time
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6 Days Ago
Navitus Health Solutions, LLC
The Software Engineer will collaborate with cross-functional teams to design, develop, and document software applications and enhancements. They are responsible for writing code, performing performance tests, and maintaining technical documentation to support business objectives.
You will be responsible for improving the retrieval layer of an AI automation platform by gathering evaluation data and implementing algorithm changes. This includes managing generative AI pipelines, maintaining retrieval models, and optimizing system throughput and latency.
Responsible for designing and implementing cybersecurity defenses for embedded medical devices and IoT systems throughout the product lifecycle. This includes conducting architecture reviews, threat modeling, and vulnerability testing to ensure regulatory compliance and product robustness.
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Lead a team of backend engineers to deliver loan origination architecture, compliance systems, and pricing platforms. Own the full software lifecycle from design to decommissioning while partnering with Product Managers on roadmap prioritization.
Lead a team of backend engineers in designing and delivering loan origination architecture, compliance systems, and pricing platforms. Own the full software lifecycle from ideation to decommissioning while partnering with Product Managers on roadmap prioritization.
The role involves owning and evolving the DevOps function, focusing on CI/CD pipelines, infrastructure as code, and system observability. Additionally, the engineer will lead FinOps governance to optimize cloud costs and improve developer productivity through internal tooling.
The role involves writing production Python code to build and maintain data pipelines for the Insights platform. It also requires providing technical leadership to set the platform's direction and improving engineering standards across the team.
AI Infrastructure Engineer
Bright Vision Technologies
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Full Time
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6 Days Ago
Bright Vision Technologies
Design and operate the platform layer for large-scale AI training and inference, focusing on GPU clusters and distributed training frameworks. Implement high-performance storage, networking architectures, and observability tools to maximize accelerator utilization and efficiency.
Design and operate large-scale data pipelines to support AI training, evaluation, and multimodal data ingestion. Implement data cleaning, versioning, and high-throughput loading systems to maximize GPU utilization and model quality.
Develop and improve ML models from scratch, collaborating with cross-functional teams to deploy them into production. Establish reproducible experimentation environments and maintain performance monitoring and documentation for all pipelines.
Design, build, and maintain scalable cloud infrastructure while collaborating with the R&D team to streamline CI/CD pipelines. You will also optimize Ruby/Rails environments and support the infrastructure for emerging AI capabilities.
Design and optimize end-to-end ETL pipelines to integrate and operationalize legal data from multiple jurisdictions. Develop data models and retrieval infrastructure to support agent-based AI systems and high-performance search.
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Own the end-to-end development and operation of AI-powered services, from agent architecture to production monitoring. Build data-representation layers and automated evaluation pipelines to ensure the reliability and correctness of AI products in a regulated payroll environment.
Develop and deploy machine learning solutions and foundation models to address high-impact societal challenges. Collaborate with cross-functional teams and stakeholders to translate real-world needs into scalable AI systems.
Partner with customers' engineering teams to integrate Kota's SDKs and APIs into their platforms. Translate customer needs into scalable solutions and act as the technical voice of the customer to shape the product roadmap.
Maintain and improve a high-volume data processing pipeline and develop tools to ensure the availability of approximately 30 microservices. Contribute to the development of backend services and product features to scale the company's distributed systems.
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