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Build and deploy production-grade AI systems, including LLMs and agentic workflows, while engineering robust data pipelines for scalable model training and evaluation.
Design, build, and deploy ML/LLM systems end-to-end, from data pipelines to production serving, using Python, Docker, Kubernetes, and MLOps tools.
Build and maintain scalable data pipelines and APIs using Java/Spring Boot to process and manage data for government systems and AI applications.
Build and maintain Python-based data analysis pipelines for KPIs, statistical modeling, and monitoring dashboards (Grafana) in a hardware-focused diagnostics team.
Build and deploy production-grade AI systems, including LLMs and agentic workflows, while owning data pipelines and orchestrating models for real-world impact in sustainability and natural resource challenges.
Designs and optimizes cloud-based big data architectures (Alibaba Cloud, AWS) for a crypto exchange, building scalable pipelines and governance systems to support analytics and product decisions.
Design and deploy AI systems (GenAI, ML, agents) with MLOps, integrating LLMs and RAG pipelines into global mobility platforms while ensuring compliance and scalability.
Designs and implements scalable, secure data architectures for rail asset management and predictive maintenance, using cloud platforms and modern data pipelines to enable analytics and decision-making.
Design and optimize Snowflake data solutions, build scalable pipelines with Snowpipe and Snowpark, and maintain SQL-based analytics for enterprise reporting.
Senior consultant builds and maintains ETL pipelines with Informatica and AWS/Databricks to move and transform data into analytics-ready datasets.
Builds and maintains scalable data pipelines using Databricks and AWS to ingest, transform, and curate data for analytics, integrating legacy systems and ensuring consistent dataset delivery.
Design and build scalable data pipelines using Databricks and AWS to enable reliable, analytics-ready data access for enterprise use cases.
Job Family: Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Design, develop, and optimize Snowflake data solutions supporting enterprise…
Build and maintain scalable data pipelines and a modern data lake on AWS to power AI/ML analytics modules.
Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the…
Key Responsibilities Data Platform Engineering Design, develop, and support data solutions using Microsoft Fabric. Build and maintain scalable data ingestion, transformation, and orchestration processes. Develop and…
Build and maintain AI-powered document parsing pipelines, OCR/VLM models, and RAG systems to extract and structure data from diverse documents for GenAI applications.
Design and build scalable data infrastructure, including data lakes and AI-powered analytics, to support media business decisions and customer data platforms.
Key Responsibilities Architecture & Design Design and architect the end-to-end AWS Data Lake and Lakehouse solution, including Landing Zone, Transformed Zone, and Curated/Consumption Zone layers Define and govern…
Primary Skills IICS,Snowflake,SQL Job requirements Experience Range: With at least 3 to 5 years of experience designing, developing, and maintaining data integration and data warehouse solutions using IICS and…
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