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Develops AI-powered audience analytics and media intelligence solutions using real-time data; builds production ML/PySpark pipelines on Databricks with MLOps best practices.
Build and deploy ML models for risk and intelligence products at scale, focusing on fraud detection and network analysis using Python, TensorFlow/PyTorch, and BigQuery.
Design and build GenAI agents that assist Bosch engineers with tasks like requirements analysis, documentation, and failure analysis using LLMs, embeddings, and vector databases.
Work as a consultant developing backend systems, APIs, and cloud solutions for clients, with focus on AI integration and cloud technologies.
Designs and deploys production-grade AI agents using LLMs, agent orchestration frameworks, and enterprise systems to automate complex workflows via natural language interactions.
AI BACKEND DEVELOPER – MADRID We are looking for an AI Backend Developer with the drive and ability to be a key member of our young and versatile sports tech development team. We are a company that pioneers and…
The Director of Engineering (Data Platform) at Vectra leads engineering teams that build and operate large-scale data platforms for AI-driven threat detection. They'll work with petabytes of security telemetry, focusing on data ingestion, processing, storage, and analysis systems that support modern AI workloads and autonomous security workflows.
Architect and lead AI-driven product development, defining roadmaps and KPIs while integrating LLMs, vector DBs, and cloud-native systems for enterprise clients.
Senior AI Engineer designing and deploying ML/DL models and LLM-based solutions for healthcare and business use cases, using Python, PyTorch/TensorFlow, NLP libraries, Docker, and cloud platforms.
Builds production-grade GenAI and agentic AI systems on GCP, including RAG pipelines, embeddings, and ADK-based agents, while designing reliable data pipelines for travel retailing.
Builds and iterates end-to-end ML systems for ShopBack’s personalized shopping recommendations, ranking, and user modeling, blending classic ML with LLM techniques while driving business metrics through A/B testing and experimentation.
Build and deploy AI/ML models and RAG pipelines to turn Navy maintenance and logistics data into predictive tools that improve fleet readiness in a DoD GovCloud environment.
Develop AI applications using natural language processing (NLP), working with data science teams to build models and processing pipelines with Python, TensorFlow/PyTorch, and other ML frameworks.
Build AI-powered automations and full-stack apps to modernize accounting workflows using JavaScript, cloud platforms, and APIs.
Embeds with banks' Fixed Income teams to design and build generative AI solutions for workflow automation, knowledge retrieval, and trade support using Python, LLM APIs, and prompt engineering.
Builds and maintains scalable, resilient infrastructure for Ivo’s AI-powered contract intelligence platform, ensuring multi-cloud, multi-region Kubernetes deployments, failover, disaster recovery, and end-to-end observability. Focuses on automation, security, and performance while collaborating with engineering teams to support AI/ML workloads and API traffic.
Build and run Ivo’s multi-region Kubernetes platform, ensuring high availability and security for an AI-powered contract intelligence product.
Builds and maintains Ivo’s scalable, multi-region Kubernetes infrastructure to ensure high availability and SLA compliance for AI-powered contract intelligence. Focuses on automation, observability, and translating legal/compliance needs into technical solutions.
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Senior AI/GenAI engineer who designs, builds, and leads production-ready AI solutions (LLMs, RAG, agentic systems) while mentoring teams and client-facing technical delivery.
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