Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Descripción: Si cree que es el candidato ideal para la siguiente oportunidad, envíe su solicitud después de leer la descripción completa. En eXperience IT Solutions, empresa tecnológica especializada en desarrollo de…
Builds and maintains data pipelines (Airflow, ETL) to process real-time pharmacy transaction data, enabling AI-driven predictive insights for personalized promotions in the healthcare sector.
Are you a data-driven innovator ready to shape the future? La descripción completa del puesto cubre todas las habilidades asociadas, la experiencia previa y cualquier cualificación que se espera que tengan los…
Job Description: As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and architectures that support analytics, reporting, and business intelligence initiatives…
This role involves building and operating the data foundation for client AI and analytics solutions, including designing ingestion pipelines, lakehouse architectures, and governed semantic layers. The engineer will work closely with AI engineers and data scientists to ensure data is audit-ready and optimized for AI consumption.
Designs and builds scalable cloud-native AI/ML and GenAI infrastructure for Toyota Financial Services, focusing on MLOps/LLMOps, GPU-accelerated compute, and secure model deployment at enterprise scale.
Lead the design, development, and deployment of AI/ML-powered applications and microservices on Kubernetes, using MLOps/AIOps tools and cloud platforms to deliver scalable, production-grade solutions.
Builds and maintains scalable data pipelines for audio datasets to support AI/ML research in immersive sound processing, including speech, style transfer, and source separation for global media production.
Designs and maintains scalable data pipelines and infrastructure for Prime Video Advertising to drive data-driven insights, using AWS tools and internal Amazon systems. Focuses on data governance, automation, and collaboration with cross-functional teams to optimize advertising analytics and decision-making.
Builds and maintains scalable data pipelines for Prime Video Advertising, using AWS tools and Python/Spark to ingest, transform, and analyze streaming/batch data for ad-driven insights.
Manages and extends the DataHub metadata platform to ensure data discoverability, lineage, ownership, and compliance across lakehouse ecosystems, integrating with tools like Databricks, Snowflake, and BI systems.
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using Apache Spark, PySpark, and cloud data services to enable enterprise analytics.
R o le : Asst. Manager/ Application Engineering Location : Gurugram Full/ Part-time : Full time About Carrier Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to…
Designs and governs Dyson’s enterprise data architecture, leading cloud-based data solutions (GCP, BigQuery, Airflow) to enable analytics, AI, and business strategy across global operations.
Build and optimize scalable Data Lakehouse and AI pipelines using SQL, Python, PySpark, and AWS/GCP to power cybersecurity AI products.
Lead the design and optimization of scalable Data Lakehouse architectures and ETL pipelines using SQL, Python, PySpark, and AWS/GCP to power AI-driven cybersecurity solutions.
Designs and optimizes air-cooling systems for data centers, focusing on thermal management, equipment selection, and on-site implementation in Indonesia. Uses HVAC principles, CAD tools, and load calculations to ensure efficient cooling solutions.
Builds secure, automated pipelines for threat detection and response using Python and DevOps tools to protect Verizon’s global network and infrastructure.
Designs and oversees scalable data pipelines, pipelines, and integrations for enterprise planning, leveraging SQL, Python, PySpark, and cloud/data tools to optimize data flows and ensure high-performance data processing.
Designs and implements automated data quality frameworks for enterprise lakehouse platforms, ensuring data meets quality standards through validation, monitoring, and incident management.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
