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Design and deploy ML models and LLM-based solutions for an insurer, build robust data pipelines in AWS SageMaker, and translate insights for stakeholders.
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Build and maintain ETL pipelines, optimize MongoDB schemas, and create Metabase dashboards to power AI-driven travel rental analytics and reporting.
Build and run the AIOps platform that keeps AI models, LLM pipelines, and agents reliable, scalable, and cost-efficient in AWS/Azure.
Build and maintain data pipelines and warehouses for AI projects, using PySpark, Databricks, and Azure services to centralize and process large datasets.
Build and scale AI-powered developer tools using Python and React, maintaining Kapa’s RAG engine, analytics platform, and client integrations.
Senior backend developer building scalable Python Django APIs and infrastructure for AI-driven conversational platforms, optimizing databases and ensuring secure, high-performance systems.
Build Vue.js dashboards and interactive data visualizations for an AI/NLP platform used by governments and financial institutions.
Builds and optimizes a Python-based AI pipeline to convert unstructured PDFs into editable .docx files, integrating OCR engines and Vision-Language Models while preserving visual and structural intent.
Build interactive dashboards and data visualizations using Vue.js and TypeScript, integrating AI/NLP engines to analyze societal impact data.
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.
Build Python applications with AI/LLM integrations and ML models, deploy on AWS/Azure, and implement ETL pipelines for fintech, logistics, and healthcare clients.
Build and maintain scalable backend services using Python and Flask for a legal research platform leveraging AI and data analytics.
Build and deploy AI/ML systems for finance, using LLMs, prompt engineering, and neural networks with Python, TensorFlow/PyTorch, and cloud platforms.
Build and fine-tune large language models for Avito’s products, optimizing training pipelines and inference speed for production-scale NLP systems.
Build and optimize Google Ads’ retail-focused AI systems, improving user understanding, advertiser intent, and LTV modeling to automate value delivery for retailers.
Builds and maintains large-scale systems at Google, working across the full stack with C++, Java, and TypeScript to deliver next-gen products like YouTube.
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.
Design and build scalable AI/data-science architectures (LLMs, RAG, ML) in cloud and on-prem, then advise customers and implement solutions in Python, Azure ML, and Kubernetes.
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