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Staff Data Scientist at DuckDuckGo focuses on improving search engine ranking and results through data-driven projects like lexical-matching, document-authority signals, and LLM-based ranking. Works with sparse, privacy-focused data to enhance search quality and precision while maintaining low latency.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Entwicklung robuster Backend-Komponenten für datenintensive KI-Anwendungen – von der API-Architektur bis zur Modellintegration Gestaltung und Optimierung von Graphdatenbank-Lösungen (z. B. Neo4j) für komplexe…
Develop Android mobile applications for LATAM operators, implementing requirements, collaborating with cross-functional teams, and contributing to AI/ML-related tasks including ML frameworks and LLMs.
The Principal Data Scientist leads interdisciplinary data and AI projects, developing data-driven solutions using machine learning, statistics, and cloud technologies. The role involves close client collaboration, technical implementation, and communication of complex results.
The Senior Generative AI Engineer will lead technical projects, develop AI demonstrators, and support sales pitches while staying current with GenAI trends. The role involves hands-on development using Python, cloud platforms, and various AI APIs to build and scale generative solutions.
Builds and owns AI-powered backend services and user-facing features for Apple’s Experience Management Platform, focusing on data pipelines, intelligent automation, and scalable product development with a product mindset.
Full-stack senior software engineer on Google Beam, a 3D imaging and spatial audio communication product, writing and testing code across back-end and front-end codebases at scale.
The Data Scientist will develop and deploy AI agents and LLM-based solutions to automate business processes within Sberbank. The role involves fine-tuning LLMs, implementing RAG, and solving complex NLP tasks using Python and modern AI frameworks.
The Senior AI Engineer designs and deploys Generative AI solutions, including LLMs, RAG architectures, and agents, to enhance enterprise automation and decision-making. The role involves integrating AI models with enterprise data platforms on AWS and Azure while ensuring model security, quality, and performance.
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Junior ML engineer builds and tunes AI models for tax document automation, using Python, PyTorch/TensorFlow, and Azure AI tools in Irvine, CA.
Designs and oversees AI architecture for CBC/Radio-Canada, integrating LLMs, ML pipelines, and agentic AI systems while ensuring compliance, scalability, and business alignment in media tech.
Join RBC Borealis as a Machine Learning Researcher, developing novel AI solutions (generative AI, NLP, time series analysis) using Python and deep learning tools, with access to massive datasets and computational resources.
Build and improve classical ML models for anomaly detection and classification in physical measurement data using Python and scikit-learn.
As a Machine Learning Research Engineer at RBC Borealis, you’ll build ML-based software solutions, collaborate with stakeholders, prototype algorithms, and integrate them into products using Python 3.x, PyTorch, JAX, or Tensorflow, focusing on generative AI, NLP, and time series analysis.
AI/NLP Engineer at BoomerangFX will design and deploy NLP pipelines, build RAG systems, fine-tune LLMs, and develop HIPAA/PIPEDA-compliant AI features integrated into .NET8/ReactJS platform on Azure for healthcare practice management.
Build and deploy AI/ML and NLP models, including LLMs, to automate healthcare workflows while ensuring clinical accuracy, regulatory compliance, and production reliability.
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