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Remote Airflow Jobs

Found 2 remote opportunities for Airflow developers

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Found 2 jobs
  • E

    Founding Engineer (Machine Learning, Data Science)

    e-HireoBengaluru25 days agoFull-time
    JOB DESCRIPTION Experience : 7 - 12 Yrs Location : Bengaluru Designation : Founding Engineer (Machine Learning, Data Science) The Role: We’re looking for a talented Founding Engineer to lead the development and deployment of AI/ML models. You’ll be responsible for the full pipeline—from building and fine-tuning models to implementing scalable workflows and deploying production-grade AI solutions. As part of a small and dynamic team, your contributions will be instrumental in defining our AI/ML strategy. Additionally, you'll have the chance to mentor and shape the future of our growing data science team. Key Responsibilities: • Machine Learning Model Development: Design, build, and deploy cutting-edge ML models across supervised/unsupervised learning, deep learning, and reinforcement learning. • Agentic Workflows Implementation: Develop autonomous AI-driven workflows to enhance operational efficiency. • Data Infrastructure: Architect and manage scalable data pipelines to handle ...
    Python
    SQL
    TensorFlow
    PyTorch
    Airflow
  • T

    Trabajos Remotos de Ingeniero de Datos

    Turing.com26 days agoFull-time
    Descripción del trabajo En Turing, estamos buscando ingenieros de datos capacitados que puedan construir infraestructuras de procesamiento de datos e informes que impulsen las ideas y la inteligencia técnica de toda la empresa. Forma parte del 1% de los mejores ingenieros de datos y aprende al lado de los mejores. Responsabilidades clave -Diseñar pipelines/ETL y bases de datos utilizando tecnologías de vanguardia y herramientas. -Liderar el equipo para desarrollar soluciones analíticas operativamente eficientes. -Definir estándares y metodologías para el ambiente de Data Warehouse. -Diseñar y construir pipelines de datos altamente escalables utilizando las últimas herramientas y tecnologías como AWS, Snowflake, Spark y Kafka para incorporar datos desde varios sistemas. -Convertir las necesidades complejas del negocio en soluciones técnicas escalables de acuerdo a los estándares del Data Warehouse. -Crear pipelines de datos escalables y aplicaciones ETL que respalden las operaciones ...
    AWS
    Snowflake
    Python
    Airflow
    BigQuery