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Audio AI Engineer
Builds and optimizes multilingual speech-to-text models for on-device use, adapting large ASR models to run efficiently on iPhones while handling code-switching and loanword transcription.
iOS Mobile Developer (Swift)
Build a real-time, on-device speech translation iOS app using Swift, Core ML, and AVAudioEngine for a federal mission environment.
Mid-Level Full Stack Developer (.Net and Azure)
Build and maintain full-stack .NET and Azure solutions for federal clients, writing and testing code, integrating systems, and resolving technical challenges in a hybrid role.
Data Scientist, Buyer
Build and deploy ML models for search relevance and recommender systems to help users discover second-hand fashion items in Vinted’s massive peer-to-peer catalog.
Associate Director, Principal Data Engineer
Lead AI-powered data engineering for a biopharma company, building scalable cloud platforms and LLM-driven workflows to accelerate drug discovery and clinical research.
Data Scientist (LLM & ML) в команду «История операций» СберБанк Онлайн
Разработка и внедрение LLM-агентов для преобразования истории операций в интерактивную, натурально-языковую аналитику с автоматическими тегами и персонализированными инсайтами. Используются GigaChat, Finetuning, RAG-системы и классическое ML для анализа транзакций.
Senior Director of Product, Retail
About Us Our company is on a mission to reduce food waste and make high-quality, affordable food accessible to everyone. Through our innovative app-based marketplace, we connect shoppers with discounted perishable…
Lead AI Engineer (Generative AI & Data Science Solutions)
Lead AI Engineer designs and implements generative AI and data science solutions, including multi-agent systems, RAG, and reasoning loops, using Python, Java, and cloud platforms.
Senior Data Scientist / ML Engineer for Telecom Anomalies
Designs and improves real-time anomaly detection systems for telecom networks using Databricks and AWS, collaborating with product/engineering teams.
Hybrid Data Scientist & ML Engineer — AI in Production
This role involves designing, training, and validating machine learning and deep learning models and deploying them into production environments. The position is hybrid, requiring approximately two days of on-site work per month in Barcelona.
Científico de Datos / ML Engineer – Data Platform en la Nube
Desarrolla y escala plataformas de datos en la nube usando ML en Databricks sobre AWS, enfocado en pipelines de streaming y detección de anomalías con arquitecturas Bronze–Silver–Gold.
Analytics Engineer: Data Platform & A/B Tests (Hybrid)
Builds and maintains data models in dbt, aligns metrics with sales and operations, and supports A/B testing for a car-rental startup.
Data Scientist & ML Engineer: Build Predictive Models
Desarrolla modelos de Machine Learning y analítica predictiva para extraer insights de datos estructurados y no estructurados.
Data & AI Platform Engineer Intern | Hybrid Madrid
An internship building scalable data pipelines and AI solutions in healthcare, working with Snowflake, dbt, and cloud platforms in a hybrid Madrid office.
Hybrid AdTech Data Engineer — Spark, AWS & ML
Builds and maintains data pipelines, infrastructure, and decision-making systems for ad targeting; models user personas and optimizes ad delivery using Spark, AWS, and ML.
Senior Databricks Data Engineer — Medallion Architect
Designs and operates a Databricks-based data platform for dynamic pricing and business intelligence in high-volume retail environments, bridging operational data sources to ML models and BI tools.
Senior Data Engineer - Databricks & Medallion Platform
Designs and operates a high-volume retail data platform using Databricks and Medallion architecture to feed dynamic pricing and business intelligence, handling ingestion from ERP/POS/e-commerce to ML/BI data exposure.
Python Data Engineer - Build Data Platforms (Remote)
The Data Engineer will design and maintain data platforms, pipelines, and tooling to support analytics and machine learning teams. The role focuses on Python development, data architecture, and implementing robust CI/CD practices.