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Senior Software Engineer at a global consultancy building data-intensive backend systems and AI-powered features for US financial-services clients using Python, Airflow, and cloud infrastructure.
Owns the reliability and performance of Apple’s large-scale data and ML platforms, ensuring high availability and cost efficiency while automating operations and incident response.
Design and build scalable data infrastructure for a food & beverage supply-chain platform, including pipelines, warehouses, and analytics systems that power AI-driven products.
Company Overview Litehouse is a district operating system that brings clarity, coordination, and intelligence to how smart venues and mixed-use districts operate. It's an AI-enabled technology platform that creates…
Designs and builds data pipelines and analytics for crypto products, creating dashboards and automating reports to surface business insights and anomalies.
Build and maintain the AI platform and data lakehouse, automating operations and deploying services using Python, Kubernetes, and MLOps tools.
Design and govern enterprise-wide data architecture for a healthcare innovation hub, applying TOGAF and DAMA-DMBOK to enable scalable data platforms, advanced analytics, and AI initiatives.
Build production-grade AI systems and data pipelines end-to-end, owning schema design, ETL, FastAPI/Next.js apps, and cloud deployments on AWS/Azure.
Build and maintain data pipelines, cloud infrastructure, and AI models in Python/SQL while learning on real client projects with mentorship.
DevOps Engineer automates software deployment, manages cloud infrastructure (AWS ECS/EKS), and builds CI/CD pipelines with Terraform and GitLab for a leading Ukrainian bank.
About Tekmetric Tekmetric is the all-in-one, cloud-based software helping auto repair shops run smarter, grow faster, and serve customers better. Built by a shop owner and shaped by the needs of the industry, Tekmetric…
Build and scale web scrapers and data pipelines in Python to extract, clean, and index auto-repair data for search using Elasticsearch, Spark, and AWS.
Design and build scalable ETL pipelines on Databricks, using PySpark, Delta Lake, and Medallion Architecture to deliver clean, production-grade data workflows.
Build and maintain data pipelines and assets to power AI solutions for a large NZ retailer, collaborating with engineers and stakeholders to deliver data-driven insights.
Build and maintain the data warehouse, semantic layer, and quality pipelines that power Stand’s AI-driven risk engine and underwriting decisions, migrating from Postgres to a scalable analytics platform with dbt, orchestration, and reconciliation.
Build and deploy AI models for human-like conversations, spanning speech, language, and real-time inference systems. Own end-to-end ML pipelines and MLOps tooling in a fast-moving startup.
Builds and maintains pricing data models and semantic layers to optimize global product tariffs using cloud data tools and SQL.
(What the role is) A hands-on technical role responsible for designing, building, and maintaining the data pipelines and infrastructure that power IMDA's Data Platforms. The role sits at the intersection of data…
Design and build scalable data warehouse systems, ETL pipelines, and data models to power Plaud’s AI-driven productivity tools using SQL, Python, and big-data tech like Spark and Snowflake.
Design and maintain compliant data pipelines for AI productivity tools, focusing on data masking, anonymization, and regional regulatory adherence.
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