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AI/ML DevOps Engineer at CI Financial
The AI/ML DevOps Engineer will operationalize machine learning models by building CI/CD pipelines and managing production deployments on Snowflake and cloud platforms. The role involves collaborating with data scientists to move prototypes into production environments.
Software Developer - API - Senior
Senior API developer designing and building REST API platforms (Apigee), web applications (React, Node.js, Next.js), and AI/ML integrations (LangChain, RAG, XGBoost) on-site in Toronto.
Software Development Engineer
Builds and maintains quantitative investment systems using ML, cloud, and high-performance tech to support $111B fund’s algorithmic trading strategies.
Azure Data Architect: Cloud-Native Data Leader
Designs and builds secure, scalable cloud-native data pipelines and lakes on Azure to power analytics and ML, bridging engineering and data science in a global team.
Azure Data Architect for Cloud-Native Data & AI Solutions
Data Architect based in Italy designing, building, and operating cloud-native data processing systems—including data lakes for analytics and ML—with a focus on security, scalability, reliability, and governance.
Azure Data Architect: Cloud-Native Data & Analytics Leader
The Azure Data Architect will design and manage secure, scalable data processing systems using Azure tools like Data Factory and Synapse. The role focuses on building end-to-end pipelines to support analytics and machine learning initiatives.
Data Analytics & AI Insights Engineer
The Data Analytics & AI Insights Engineer will transform complex data into business insights by managing end-to-end analysis, creating advanced dashboards, and applying data science and machine learning techniques.
AWS Data Platform Engineer — Data Lakes & Cloud Infra
AWS Data Platform Engineer at NTT DATA building data acquisition, transformation, and loading pipelines into AWS data lakes for analytics and ML, along with CI/CD pipelines and monitoring using AWS tools.
Azure Data Architect: Cloud-Native Data Engineer for Insights
Designs and builds cloud-native Azure data platforms to process raw data into insights for analytics and machine learning, ensuring security and scalability.
AWS Data Platform Engineer: Build Scalable Data Lakes
The AWS Data Platform Engineer will design and optimize data lake solutions, manage data pipelines, and implement CI/CD and monitoring on AWS. The role involves collaborating with architects to support analytics and machine learning initiatives.
Azure Data Engineer: Bridge Data Science & Big Data
Azure Data Engineer bridging Data Science and Data Engineering, building data pipelines and loading data into data lakes for analytics and ML using Azure Data Factory, Synapse, and Databricks.
Data Engineer: Spark, Kafka & Big Data (Hybrid Milano)
Data Engineer working with Big Data pipelines using Scala, Apache Spark, and messaging systems in a hybrid (office + smart working) setup in Milano.
AWS Data Engineer – Cloud Data Platform, CI/CD & MLOps
The AWS Data Engineer will design and maintain data platforms, managing data ingestion and transformation for analytics and ML models while implementing CI/CD pipelines and infrastructure migrations on AWS.
AWS Data Engineer — Data Lakes, CI/CD & Cloud Native
AWS Data Engineer based in Italy building data lakes, managing CI/CD pipelines, and maintaining cloud-native monitoring stacks using CloudWatch, Prometheus, and ELK for analytics and ML workloads.
AWS Data Engineer – Cloud Data Platform & ML Enablement
Builds and maintains AWS-based data pipelines, transforming raw data into structured formats for analytics and ML models, with a focus on cloud-native architectures and automation.
AWS Data Engineer — Data Lakes, Cloud Infra & CI/CD
The AWS Data Engineer will build and maintain scalable data infrastructure, including data lakes and pipelines, using AWS services, Docker, Kubernetes, and Infrastructure as Code. The role involves collaborating with architects to support analytics and machine learning initiatives.
AWS Data Engineer - Build Scalable Data Lakes & CI/CD
AWS Data Engineer designing and building scalable data lakes on AWS, performing data acquisition, transformation, cleansing, and loading for analytics and ML workloads, using Docker, Kubernetes, and serverless Lambda.
Azure Data Engineer: Bridge Data Science & Engineering
Azure Data Engineer bridging Data Science and Engineering in a BI-focused team, building data lake pipelines for analytics and ML using Azure, SQL, Spark/Databricks, and ETL/ELT tools.
Azure Data Engineer: Data Science Bridge & Big Data
Azure Data Engineer bridging Data Science and Data Engineering, building ETL pipelines into data lakes for analytics and ML using Spark, Databricks, and Azure data services in a cloud-native environment.