Design and build AI-powered workflow tools and the underlying logic layer to automate construction project delivery tasks. Develop supporting Python scripts for data parsing, API integration, and quality engineering to ensure reliable AI outputs.
Remote Software Development Jobs (56,012)
Job category = Software Development
Product Manager II - eCommerce Analytics & Business Intelligence (Adobe CJA)
DICK'S Sporting Goods
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Full Time
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8 Weeks Ago
DICK'S Sporting Goods
Lead the product strategy and roadmap for ecommerce analytics and business intelligence to drive data-driven decision-making. Manage the implementation and configuration of Adobe Customer Journey Analytics (CJA) to optimize the customer journey across multiple touchpoints.
Maintain and optimize a mission-critical Ruby on Rails monolith while integrating new features developed in Kotlin and Spring Boot. Ensure seamless ecosystem integration and resolve complex production issues within the core platform.
Design and deploy AI-powered outbound systems to automate account sourcing, personalization, and engagement orchestration. Partner with Marketing and Sales leadership to build production-ready workflows that increase pipeline generation and seller productivity.
Lead the creation of a programmatic optimization platform to automate ERCOT and gas market decisions using real-time data and forecasting. Design and maintain production code for bidding, simulation, and orchestration frameworks to drive GW-scale microgrid performance.
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Design, configure, and deliver Creatio-based CRM and process automation solutions. Collaborate with Business Analysts and Architects to translate requirements into working solutions and maintain business workflows.
Contract: Sr. Analytics Engineer - Internal Data 92 APPLICANTS
Newsela
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Full Time
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8 Weeks Ago
Newsela
The role involves applying data engineering best practices to transform, test, and document data while building composable data models. You will collaborate with stakeholders to turn raw data into business insights and create data visualizations.
Design and implement scalable AI-driven applications on the Azure platform using a full-stack approach. Collaborate with cross-functional teams to integrate AI frameworks and optimize cloud-native deployments for performance and cost.
Lead technical decisions regarding application and data model design while maintaining stable and performant application stacks. Develop quality code in an agile environment using TDD and pair programming to support business goals.
Lead the implementation, operation, and reliability of Microsoft Azure cloud infrastructure and platform services. Drive automation through Infrastructure as Code and mentor junior engineers to improve overall platform quality and security.
Install, upgrade, and administer the z/OS Mainframe operating system to ensure reliability, performance, and security. This includes managing SMP/E activities, MVS tuning, and supporting various ISV products.
Lead the regional front line in APAC by investigating and resolving complex production issues within a SaaS environment. Act as the primary technical contact for customers, managing incidents and collaborating with global engineering teams to drive resolutions.
Data Science AI Engineer, Advisor
Gainwell Technologies LLC
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Full Time
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8 Weeks Ago
Gainwell Technologies LLC
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes managing end-to-end deployment, data engineering, and ensuring compliance with HIPAA and industry standards.
AI Engineer, Principal
Gainwell Technologies LLC
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Full Time
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8 Weeks Ago
Gainwell Technologies LLC
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes building ML models, integrating them into existing technology stacks, and ensuring compliance with healthcare regulatory standards.
Industrial Sales Engineer - Western Region
PEI GENESIS INC.
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Full Time
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8 Weeks Ago
PEI GENESIS INC.
The Industrial Sales Engineer provides technical advice and support throughout the design cycle to grow design-in revenue within the industrial market. They collaborate with internal teams and external partners to position the company on customer approved vendor lists.
The role involves building and evolving systems for provider search, ranking, availability, and booking to improve patient matching. The engineer will design durable, scalable systems and lead high-priority technical projects from conception to delivery.
Design, build, and maintain scalable data pipelines and cloud-based architectures to support federal government programs. Collaborate with cross-functional teams to integrate diverse data sources and ensure compliance with federal security requirements.
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Lead the organization's cloud strategy by architecting scalable systems and overseeing the implementation of complex cloud-based solutions. Conduct research on emerging technologies and establish engineering best practices to align cloud initiatives with business objectives.
Lead the Infrastructure team in managing Azure cloud and on-premises environments while guiding modernization and migration efforts. Oversee DevOps and SRE practices to ensure high availability, scalability, and operational excellence across the organization.
Lead end-to-end data science experiments focusing on graph analytics, entity resolution, and topological risk modeling. Perform rigorous exploratory data analysis on government datasets and develop interpretable classifiers and GNNs.
Digital Developer- Wordpress
Black Duck Software, Inc.
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Full Time
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8 Weeks Ago
Black Duck Software, Inc.
The Digital Developer is responsible for the day-to-day development, performance monitoring, and operational support of the corporate WordPress website. This includes implementing front-end and back-end enhancements and collaborating with marketing, UX, and analytics teams to optimize site health and conversion paths.
Support the implementation and delivery of Oracle Cloud ERP Financials solutions across various client engagements. Contribute to requirements gathering, configuration, testing, and user enablement for modules including GL, AP, and AR.
AI & Marketing Intern (Practica Universitaria)
Keyrus Colombia
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Full Time
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8 Weeks Ago
Keyrus Colombia
The intern will design AI-powered workflows, agents, and automations to optimize business processes for retail and consumer goods clients. They will contribute to high-impact projects while receiving mentorship in technology consulting and MarTech solutions.
Assign accurate diagnostic and procedure codes for outpatient hospital professional accounts based on clinical documentation. Monitor work queues to ensure timely charging and generate queries for physician clarification as needed.
Design, develop, and maintain modern data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
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Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate multiple data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
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