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Senior ML Product Engineer building and operating personalized communication systems (send decisioning, AI-assisted content, intelligent funnel) for HelloFresh in Warsaw, using Python, Spark, Databricks, Go, Kafka, and Kubernetes.
This Senior Machine Learning Engineer role involves managing the full lifecycle of ML model development and production deployment using Python and AWS. The position requires strong software engineering practices including microservices, TDD, and DDD.
This role involves building and deploying LLM-based agentic solutions for healthcare insurance payment integrity. You will work across the full machine learning lifecycle, developing data pipelines and evaluation frameworks to create explainable AI tools for claims handling.
Leads a US healthcare-focused AI team to build autonomous, explainable AI agents for insurance payment integrity using LLMs and agentic frameworks, ensuring compliance and scalability.
Empowering people. Unlocking innovation. With 1,000+ professionals and over a decade of experience, we’ve built an environment where talent is trusted, supported and continuously challenged to grow. Aumente sus…
¡Apiux está buscando un/a Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA para TELETRABAJAR!!! Todas las habilidades, cualificaciones y experiencia relevantes que necesitará un…
¡En Ayesa Digital crecemos Contigo! Se pueden requerir diversas habilidades interpersonales y experiencia para el siguiente puesto. Por favor, asegúrese de consultar la descripción a continuación con atención. Cada…
Builds, fine-tunes, and deploys large language models for banking use cases in secure environments, handling the full ML lifecycle from data prep to production inference optimization.
Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity…
Designs and deploys scalable AI/ML systems, including GenAI and computer vision, while leading reusable frameworks and mentoring teams to raise technical standards across projects.
We are looking for a remote Mid-Level AI Engineer with hands-on experience building and deploying Generative AI solutions. 📍 Remote within Europe. This is an engineering role focused on developing production-ready…
В Центре робототехники Сбера мы обучаем модели, которые должны управлять роботами в сложных реальных условиях. Для этого мало просто собрать большое количество данных: нужно понимать, какие записи полезны, где в них…
Senior security architect advising a top Canadian bank on securing Azure Databricks, AI/ML pipelines, and cloud data platforms with networking, access controls, and governance.
AI Engineer at IBM Client Innovation Centre Quebec (LGS) deploying and monitoring LLM/AI models into production using containers, CI/CD, and cloud AI services, while collaborating with data scientists on large-scale digital transformation projects.
Чем предстоит заниматься: Разработка и оптимизация RAG-систем на базе LLM (LLaMA, GPT-подобные модели) для обработки внутренних документов, отчётов и регламентов ключевых заказчиков; Реализация и тонкая настройка…
Hybrid ML/Data Engineer building end-to-end machine learning solutions—from data ingestion and feature engineering through modelling to production deployment—using Python and SQL in Sydney.
Build and deploy production-grade AI and Generative AI solutions using Python, SQL, and LLM frameworks to improve customer experience and business efficiency.
Hybrid ML/Data Engineer building production ML solutions across the full lifecycle—from data ingestion and feature engineering through model development, deployment, and monitoring—using Python, SQL, and modern data frameworks.
This role involves building data quality pipelines and conducting ML experiments to improve robot control models within Sber's Robotics Center. The engineer will analyze multimodal datasets, evaluate model performance, and translate data insights into actionable improvements for model training and data collection.
Data Scientist applying statistical modelling and classical ML to validate and benchmark Gen AI solutions within NCS AI Central's Forward Deployed Engineering model, primarily using Python and SQL.
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