Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to deliver high-quality software solutions and maintain comprehensive technical documentation.
Remote Python Developer Jobs (586)
Search = python
Job category = Software Development
Design and develop reusable Airflow components, dbt macros, and DataOps tooling to evolve the DWH platform. Lead the implementation of high-performance data models and provide technical leadership through code reviews and architectural design.
Design and implement scalable integration solutions using Python and event-driven architectures to support AI deployment. Collaborate with stakeholders to define requirements, manage delivery timelines, and monitor system stability using observability tools.
Data Science Engineer (Python) 58 APPLICANTS
DevSavant Inc.
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Full Time
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4 Weeks Ago
DevSavant Inc.
Design, develop, and maintain scalable data pipelines and ML systems using Python and GCP. Implement MLOps practices and collaborate with data scientists to move machine learning models into production.
Design and build scalable backend microservices and robust ETL/ELT pipelines to bridge raw data collection and application logic. Develop RESTful APIs and optimize big data storage to support AI-driven features and intelligent user experiences.
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Design, develop, and optimize backend services and large-scale enterprise solutions using AWS. Coordinate with cross-functional teams to implement technical designs and perform root cause analysis on production issues.
Full Stack Engineer (Data & Python) (Indian Citizen only)
Codvo.ai
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Full Time
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4 Weeks Ago
Codvo.ai
Develop and maintain the Python codebase for the core automation engine, focusing on data ingestion, standardization, and matching algorithms. Build responsive frontend components using React.js and create complex report pipelines for Excel and PDF outputs.
Develop Python and Bash tools on Linux servers to implement security mechanisms and platform hardening. Troubleshoot infrastructure issues and collaborate with a cross-functional team using Agile methodology.
Develop Python and Bash tools on Linux servers to implement security mechanisms and platform hardening. Troubleshoot infrastructure issues and collaborate with an agile team to maintain client infrastructure.
Develop and maintain the Python codebase for a core automation engine, focusing on data ingestion, standardization, and matching algorithms. Build responsive frontend components using React.js and create complex report pipelines for Excel and PDF outputs.
Senior Python Engineer – AI Agents & LLM Systems
INNOCV Solutions S.L.U.
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Full Time
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4 Weeks Ago
INNOCV Solutions S.L.U.
Design and implement AI solutions using RAG and autonomous agent networks to solve complex business problems. Manage data ingestion pipelines, serverless architectures, and MLOps practices to automate the deployment of AI models.
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to deliver high-quality software solutions and maintain comprehensive technical documentation.
Develop software for a long-term online education project. Design, build, and operate high-load systems and process large volumes of data.
Design and develop scalable ETL data pipelines and validation frameworks on GCP. Implement end-to-end data quality checks and monitoring mechanisms to ensure pipeline reliability and performance.
Accelerate the evolution of the GroundCloud platform by building reliable, high-impact features for delivery fleets. The role involves end-to-end feature development, conducting code reviews, and contributing to technical design discussions to improve system quality.
Design, develop, and deploy chatbots and voice bots using Google Cloud Platform and Dialogflow CX, specifically integrating LLM playbook features. The role involves collaborating with stakeholders to integrate bot systems with backend APIs and databases while ensuring code maintainability.
Design, develop, and deploy chatbots and voice bots using Google Cloud Platform and Dialogflow CX, specifically integrating LLM playbook features. The role involves collaborating with stakeholders to integrate bot systems with backend APIs and databases while ensuring clean, maintainable code.
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Design, develop, and deploy chatbots and voice bots using Google Cloud Platform and Dialogflow CX, specifically integrating LLM playbook features. The role involves collaborating with stakeholders to integrate bot systems with backend APIs and databases while ensuring clean, maintainable code.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and maintain scalable backend services and RESTful APIs using Python frameworks. Implement data pipelines, optimize database interactions, and manage cloud deployments within the Azure ecosystem.
Senior Data Engineer (ADB, Python)
Exadel Inc (Website)
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Full Time
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4 Weeks Ago
Exadel Inc (Website)
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to deliver high-quality software solutions and maintain comprehensive technical documentation.
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to deliver high-quality software solutions and maintain comprehensive technical documentation.
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to optimize data handling and ensure the reliability of AI-driven tools.
Design, implement, and maintain scalable backend services and APIs using Python. Collaborate with cross-functional teams to optimize platform performance and manage data models and asynchronous workloads.
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Design and implement secure, scalable backend services and frontend features using Python and React. Maintain system reliability through on-call rotations, code reviews, and the development of automated testing strategies.
Deliver new features and architecture for the Kodee AI assistant and Customer Success platform. Integrate AI capabilities across product and support workflows to enhance productivity and customer experience.
Design and ship new features for the Kodee AI assistant and the Customer Success platform. Own service architecture decisions and integrate AI capabilities across various product and support systems.
Design and build secure, high-performance microservices and APIs to support critical revenue operations. Collaborate with senior engineers to resolve production issues and automate workflows using AI agents.
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