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Build and maintain Python-based APIs and backend services for an AI company, using FastAPI/Django/Flask, async programming, and cloud tools like AWS/Azure.
Builds and deploys AI-powered image processing services for aquaculture, using Python, Docker, and cloud/edge systems while maintaining APIs and UIs.
Builds scalable data pipelines and lakehouse systems to turn noisy edge sensor data into reliable measurement and forecasting for in-store Retail Media, using Spark, Kafka, Trino, and privacy-preserving architectures.
Build and evolve AI-powered software products using Java/Spring, Python/FastAPI, and React/Vue/Angular with TypeScript, collaborating with AI experts to integrate models and services.
Full Stack Engineer building AI products in Lugano, integrating NLP, optimization, and computer vision models with Java/Spring, Python/FastAPI, and React/Vue/Angular.
Build production-ready AI agents and models for insurance using LLMs, RAG, and computer vision, taking solutions from research to deployment.
Build and deploy ML models and AI solutions for global clients, from LLMs to optimization engines, using Python, cloud platforms, and MLOps practices.
Lead the design and deployment of AI/ML systems for global clients, including optimization engines and LLM-powered recommendation systems using Python, AWS, and MLOps practices.
Build and deploy ML models and AI systems for enterprise clients, focusing on LLMs, NLP, and computer vision to solve industrial, automotive, and software-engineering challenges.
Build and deploy AI/ML models for industrial use cases like predictive maintenance and process optimization, using Python, TensorFlow/PyTorch, and MLOps pipelines.
Design and deploy production-ready AI solutions for insurance, focusing on Agentic AI, LLMs, RAG pipelines, and Computer Vision using Python.
Build and optimize large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring scalable, secure data processing for enterprise clients.
Build and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
Design and build large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring secure, scalable data processing for downstream systems and reports.
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
Build and maintain Python backend services that process data from 300,000+ IoT devices, and contribute to React/TypeScript frontend features for retail store tools powered by computer vision.
Design and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
Build and maintain large-scale data pipelines on Databricks using Python, PySpark, and cloud-native tools to process and deliver clean data for analytics and AI workloads.
Build intuitive AI interfaces and scalable systems for generative AI and computer vision, using full-stack skills in TypeScript, React, Node.js, Python, and cloud tools.
Build intuitive AI interfaces and scalable systems for generative AI and computer vision using full-stack skills in TypeScript, React, Node.js, and Python.
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