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Junior AI Engineer: Cloud ML & Data Solutions
Design and deploy scalable ML solutions on Google Cloud, collaborating with architects and engineers to implement MLOps practices and production-grade AI systems.
Join Us: Data Engineering to unlock value from Data (Milano-Torino)
Design and build cloud-native and on-premise data pipelines using Spark, Kafka, and cloud platforms to ingest, process, and analyze large datasets for enterprise clients.
Specialista Databricks & Data Engineering (Ibrido) – Milano
Designs and builds data pipelines on Databricks, integrating cloud services with Python/Scala in a hybrid Milan role.
Consulenti e Trainer Cloud & Data Engineering (Partita IVA)
Freelance consultant/trainer delivers hands-on cloud and data engineering workshops and projects for enterprises, focusing on AWS and Azure pipelines, data governance, and Spark-based data processing.
Data Scientist/ML Engineer (Rif. 2026-55)
Build and deploy ML models, GenAI use cases, and predictive analytics for a major bank using Python, SQL, and MLOps tools.
Data Scientist/AI Engineer
Designs modular AI components and orchestrates agentic workflows on Azure AKS, moving GenAI prototypes into scalable enterprise production.
Data Platform & AI Engineer
Build and maintain cloud-based data platforms and AI solutions, integrating heterogeneous data sources to enable advanced analytics, Generative AI, and machine-learning use cases for supply-chain and industrial clients.
Data Scientist/AI Engineer
Design and build modular AI components and agentic workflows on Azure for enterprise-scale GenAI deployment, focusing on governance, monitoring, and scalability.
GCP Data Architect: Real-Time Pipelines & Data Quality
Designs and builds secure, scalable real-time data pipelines and systems on Google Cloud, using Scala/Java/Python and BigQuery to enable data-driven decisions.
AI Engineer - Data Scientist
Develops AI models and data pipelines using Python, Spark, and cloud platforms for clients in an outsource setting.
Data Engineer: Python/Scala + Spark on Cloud (Hybrid Torino)
Builds and maintains data pipelines using Python, Scala, and Spark on AWS/GCP/Azure for an IT-focused company in hybrid mode.
AI Data Engineer: Spark + ML on Azure, End-to-End
Design and build large-scale data pipelines using Apache Spark and Microsoft Azure, with a focus on machine learning workflows.
Full Stack Engineer (Python/Flask)
Builds and maintains web applications using Python and Flask for a major Italian tech services partner.
GCP Data Architect & Engineer: Real-Time Pipelines & BigQuery
Designs and builds secure, scalable GCP data pipelines and BigQuery solutions to enable real-time analytics and data-driven decisions for global clients.
Hybrid Data Analyst – Big Data Pipelines & Analytics
Designs batch and streaming data pipelines and analyzes large datasets using SQL, Python, and Scala, collaborating with data engineering teams.
Senior Data Infrastructure Engineer
Build and own the data infrastructure for a search engine serving M&A advisors, banks, and funds, including ETL pipelines, cloud data warehouse, and monitoring.
Staff Data Engineer – Display Marketing Team (Bangkok based, relocation provided)
Build and maintain large-scale backend services and data pipelines for paid marketing systems, integrating ad platforms like Google Ads and Meta to optimize global travel ad campaigns.
Hybrid Data Analyst – Big Data Pipelines & Analytics
Builds and maintains big-data pipelines (batch and streaming) and analyzes large datasets using SQL, Python, and Scala, collaborating with data-engineering teams.
Senior Full Stack Dev - Phyton and React
Build end-to-end features in Python (backend) and React (frontend) for a cloud-native investigative intelligence platform that scales to petabyte datasets and integrates generative AI and graph algorithms.
Big Data Engineer | Cloud, Spark, Kafka & NoSQL
Designs and implements Big Data pipelines using cloud platforms, Spark, Kafka, and NoSQL databases to process and analyze large datasets.