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Designs, implements, and integrates AI solutions while advising teams on best practices and improving model performance.
Build and secure AI-enabled applications, agents, and RAG systems in a hybrid role, shaping AI security strategy, threat modeling, and runtime guardrails while collaborating on application security reviews.
Develops scalable data pipelines and AI-native solutions for enterprise clients, focusing on AWS-based data ingestion, orchestration, and performance optimization with Python/PySpark.
Build and operate secure, scalable AI services on AWS, turning research into production-ready features for governance data.
Develops next-gen compiler tools for AMD’s AI platforms (Vitis-AI/Ryzen-AI) to optimize ML network compilation on proprietary NPUs, collaborating with hardware/software teams to enhance performance and innovation.
Senior Analyst shaping global GTM strategy for DeepL’s AI translation platform, designing sales territories, modeling performance, and automating workflows to drive scalable growth. Core tools: Salesforce, Databricks, and AI-driven analytics.
Mindsource is seeking a Lead GenAI Engineer to design and build a stateful, headless GenAI application for commercial marketers. The role focuses on agentic content-application architecture and orchestration.
Own the AI platform product lifecycle, from ideation to launch, shaping how teams manage and deploy AI tools like LLM inference and model management.
Field Applications Engineer supporting AMD’s datacenter platforms for Google, handling platform bring-up, debugging, and performance analysis for hyperscale deployments.
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.
Audits and maps complex data structures in BigQuery, translating business logic into SQL while leveraging AI/LLM prompts to refine queries and reduce errors.
Design and improve data pipelines, ensure data quality, and build AI-powered analytics tools to support product teams across European markets.
Designs AI RAG pipelines and optimizes vector databases in Azure to solve customer challenges and drive data-driven decisions for a Barcelona-based team.
Lead a Barcelona-based data engineering team to build and own an AI-first data platform for a regulated clinical environment, aligning with an Austin team across time zones.
The Data Ops Engineer will work on AI enablement, focusing on data pipelines, modeling, and integrating LLM APIs for Generative AI solutions. The role is 100% remote.
Builds scalable data pipelines and AI models to integrate business needs with AI innovation in a creative, tech-driven environment at a global creative agency.
Design, build, and maintain robust data pipelines and AI-driven automation to support Calconut’s digital transformation in a cloud environment.
Builds and maintains scalable data pipelines and AI-enabled features using Python, Databricks/Spark, and Azure to power business software.
Designs, builds, and scales AI data pipelines and systems for information verification, owning end-to-end data workflows across backend and infrastructure layers in a fast-growing AI startup.
Designs and builds scalable data pipelines to feed ML and generative-AI systems in a cloud-based, hybrid work environment.
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