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DigiTribe - Data Engineer (Azure Databricks & Application Development)
Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
AI Engineer
Design and deploy AI/ML models and solutions for clients, ensuring scalability and best practices in MLOps using cloud platforms like Azure.
⛅️ Data Platform Engineer
Build and maintain scalable data platforms that let engineers, analysts, and scientists turn raw data into insights quickly and reliably.
Senior Full-Stack Engineer
Senior Full-Stack Engineer builds enterprise AI applications using TypeScript, React, Node.js, and GraphQL, leading architecture, mentoring teams, and deploying scalable solutions on Azure or AWS.
Senior Full-Stack Engineer
Senior Full-Stack Engineer builds and leads enterprise AI applications using TypeScript, React, Node.js, and GraphQL, mentoring teams and driving scalable, secure solutions on Azure or AWS.
Smals - Machine Learning Engineer
Design, build, deploy and maintain ML models and pipelines in production on Azure and on-premise, ensuring reliability, scalability and compliance with EU AI regulations.
Cloud Architect (Data & AI)
Designs scalable Azure-based cloud architectures, data platforms, and AI/ML solutions for a motorsport engineering team, using Python, Terraform, and MLOps.
Cloud Architect (Data & AI)
Designs scalable cloud architectures, data platforms, and AI/ML solutions for a Motorsport client using Azure, AWS, and GCP, with a focus on MLOps, data pipelines, and cloud-native development.
Aerospace AI Engineer: Ground Data Systems & ML Ops
Develop AI/ML models and MLOps pipelines for aerospace mission operations, using Python and ML frameworks to process and deploy data systems under strict constraints.
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.
Senior ML Engineer – Data-Driven Logistics & MLOps
Build and maintain ML systems for pricing and logistics optimization using production-grade data pipelines and MLOps practices.
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.
Senior ML Engineer – Data-Driven Logistics & MLOps
Build and deploy ML models to optimize freight pricing and logistics operations using production-grade MLOps pipelines.
Remote AI Platform Engineer - Data & LLM Solutions
Builds and maintains AI platforms and data pipelines using Python, MLOps tools like MLflow, and Kafka for real-time data processing.
MID DATA PLATFORM ENGINEER-28471.01.LD
Designs and builds a scalable Google Cloud data platform using BigQuery, dbt, Terraform, and Airflow to ingest, transform, and govern logistics data while integrating AI-driven monitoring and MLOps.
Freelance Data Science Engineer (Python & SQL)
Design and solve complex, real-world data science problems in Python and SQL to train and improve generative AI models for diverse industries.
AI & Data Solutions Architect | Lead Data Pipelines & ML
Designs end-to-end data and AI architectures, leads ML pipelines and MLOps, and collaborates with cross-functional teams to deliver Generative AI solutions in the cloud.
Lead Data AI Engineer
Lead a team building cloud-native data platforms and AI pipelines, owning product backlogs and driving scalable solutions for Generative AI, LLMs, and vector databases.
AI Engineering Manager (Full-Stack) - Milano
Lead AI engineering teams to design and deliver scalable generative-AI and data platforms for clients in automotive, healthcare, and other sectors, using Python, cloud stacks, and MLOps tooling.
Full Stack Software Engineer
Builds and maintains distributed systems for GNSS interference monitoring and deploys RAG/LLM pipelines for space and government missions using .NET Core or TypeScript/Node.js and Angular/React.