The Director will lead enterprise data protection, cloud security, and API security initiatives to safeguard sensitive information and systems. They are responsible for defining security policies, managing cloud architectures, and collaborating with cross-functional teams to ensure scalable and secure operations.
Remote Software Development Jobs (50,868)
Job category = Software Development
Senior Specialist - Infrastructure Architecture 11 APPLICANTS
Baker Hughes
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Full Time
·
7 Weeks Ago
Baker Hughes
The Senior Specialist will participate in technical and business discussions to define future architectural roadmaps and infrastructure requirements. They will also support the design and deployment of standardized, secure, and compliant infrastructure solutions while mentoring team members.
Medical Coder Inpatient- Full time, Days (Remote) 16 APPLICANTS
Centra Health
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Full Time
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7 Weeks Ago
Centra Health
The Inpatient Coding Specialist reviews medical records to assign accurate ICD-10-CM and ICD-10-PCS codes for optimal reimbursement. They also collaborate with clinical documentation teams and formulate provider queries to ensure coding accuracy.
Define and lead the enterprise data architecture for a modern data platform using Databricks and Lakehouse architecture. Design scalable data models, lead data mapping initiatives, and establish enterprise data modeling and governance standards.
The Senior Incident Response Engineer will lead the full life-cycle of security incident investigations and develop proactive threat detection strategies. They are responsible for improving organizational resilience by tuning security controls and conducting forensic investigations across cloud and physical environments.
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The role involves leading incident response investigations, conducting cyber forensics, and developing proactive threat detection strategies. You will also be responsible for improving security resilience, tuning security controls, and providing technical leadership for the global information security team.
You will own the inference and orchestration layer that powers AI interactions, ensuring high reliability and performance. This involves building production systems, designing inference pipelines, and managing monitoring and incident response.
You will build and maintain production Android applications with a focus on integrating AI-powered features like chat, vision, and voice. You will also optimize app performance, memory usage, and responsiveness while collaborating with backend and ML engineers.
Design and build end-to-end AI-native product features and agent workflows that handle planning, tool use, and failure recovery. Collaborate with cross-functional teams to integrate LLMs and memory systems into reliable, production-grade applications.
You will build and maintain a production-grade iOS application with a focus on AI-powered features and reliable user workflows. You will collaborate with backend and ML engineers to optimize performance, memory usage, and the overall user experience.
You will own the end-to-end AI product strategy, balancing technical feasibility with user needs to deliver reliable, high-value features. You will work closely with engineering teams to define success metrics, iterate on model performance, and manage complex technical trade-offs.
You will be responsible for building and owning end-to-end machine learning pipelines, including training, inference, and deployment systems. You will also collaborate with research and application teams to integrate scalable, production-grade AI models into real-world products.
You will build and improve core machine learning components across data, training, evaluation, and inference pipelines. Additionally, you will debug production model issues and collaborate with product teams to ensure reliability and performance.
You will own critical machine learning subsystems end-to-end, from data preparation and training to production deployment and iteration. You will collaborate with research and engineering teams to build reliable, scalable AI systems that solve complex, long-horizon tasks.
You will build and maintain cross-platform desktop applications using Electron to deliver AI-powered features. Your role involves optimizing performance, managing local state, and ensuring stability across macOS and Windows environments.
You will own the end-to-end execution of ML systems, including data pipelines, training workflows, and inference architecture. You will also collaborate with application engineering to integrate these models into production products while ensuring reliability and performance.
You will own the core application architecture and lead a senior team to integrate AI systems into mobile, desktop, and backend platforms. Your role involves ensuring production-grade reliability, observability, and performance while translating machine learning capabilities into shippable product features.
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You will own the end-to-end execution of ML systems, including data pipelines, training workflows, and inference architecture. You are responsible for translating research into production-ready solutions while ensuring system reliability, performance, and scalability.
You will define the research direction for the company's core AI intelligence, focusing on reasoning, memory, and planning. You will also establish evaluation frameworks to ensure real-world usefulness, safety, and robustness of the AI system.
The Salesforce Architect will lead the architectural design and migration of legacy systems to Salesforce Government Cloud Plus. They are responsible for overseeing data management, system integration, and ensuring compliance with federal security standards.
The role involves developing and operating large-scale machine learning models to detect and prevent fraud throughout the entire lifecycle. You will build scalable data pipelines and collaborate with engineering and product teams to maintain system reliability in high-volume environments.
Client Director, AI-Driven Commercial Effectiveness
Odaia Intelligence Inc.
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Full Time
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7 Weeks Ago
Odaia Intelligence Inc.
The Client Director will drive new business growth and expand strategic partnerships within mid-market and enterprise life sciences organizations. They will lead consultative discovery conversations and architect AI-driven solutions to transform commercial performance.
Embedded Systems Engineer | Hardware-Integrated Software Developer | Deep-Tech Startup in Personalized Medicine
iLoF
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Full Time
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7 Weeks Ago
iLoF
Collaborate with hardware and data science teams to develop software applications for automated data collection and hardware-software interfaces. Manage cloud infrastructure, databases, and ensure data security and regulatory compliance for medical device standards.
The Associate Structural Engineer will assist with structural design efforts for federal projects, including building frameworks, foundations, and structural systems. They will also collaborate with experienced engineers to produce structural plans, perform calculations, and prepare construction documents.
The Data Analyst will build and maintain high-quality Power BI dashboards, reports, and KPIs while performing statistical analysis to uncover business trends. They will partner with business units to translate complex data needs into actionable insights and mentor associate analysts.
Lead the technical vision, architecture, and strategy for the data lake platform while driving development roadmaps. Partner with cross-functional teams to design scalable data infrastructure and mentor engineering staff.
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You will design and build scalable GTM data pipelines and automation systems to drive revenue growth. This role involves partnering with marketing, sales, and engineering teams to develop internal tools and AI-native workflows.
Dynamics 365 F & SCM Functional Analyst - Accounting/Technical
Summit Racing
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Full Time
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7 Weeks Ago
Summit Racing
The Functional Analyst will design, configure, and implement Microsoft Dynamics 365 ERP solutions to meet business requirements. They are responsible for analyzing business processes, providing expert support, and training team members across company facilities.
LV Field Service Power Distribution Engineer- EMEA
Eaton Corporation
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Full Time
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7 Weeks Ago
Eaton Corporation
The engineer will perform installation, commissioning, testing, and maintenance of LV power distribution equipment across the EMEA region. They will act as the primary customer contact, manage site activities, and ensure all work complies with safety standards.
Develop water treatment process models to evaluate cost and environmental impacts while assessing innovative treatment technologies. Utilize data science and systems-level thinking to identify design tradeoffs and solve complex sustainability problems.
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