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Builds and maintains data models, automates pipelines, and creates AI/ML-driven insights for Safety, Quality, and Mission Assurance teams in aerospace operations. Focuses on SQL, Python, and visualization tools to support cross-functional decision-making.
Leads contact center testing and automation for PwC’s global clients, designing test suites for IVR, chatbots, and AI-driven workflows while managing teams and ensuring quality in CCaaS deployments.
Develops AI-powered backend services in Java/Spring Boot, integrating LLMs and MLOps pipelines for Airbus’ space system data management tools.
The Senior Deep Learning Engineer will design and build evaluation infrastructure for NVIDIA's frontier AI models, including LLMs and agentic systems. This role involves developing novel benchmarking methodologies and collaborating with research teams to guide model releases using large-scale GPU clusters.
About this role We are looking for a data-savvy Software Engineer to help us build scalable, production-grade systems for researching, experimenting and developing cutting-edge data products in the private markets…
Cloud and AI Security Engineer at Axos Bank in Manila, building security frameworks for AI/ML platforms, LLM applications, and multi-cloud infrastructure (AWS, Azure, GCP), focusing on AI-specific threat mitigation like prompt injection, adversarial attacks, and RAG security.
Lead development of scalable AI systems processing engineering documents (CAD/BIM, reports) using Python backends and React frontends, integrating LLMs and deploying on cloud.
The AI Engineer will design, deploy, and maintain machine learning pipelines and LLM-based applications. The role focuses on operationalizing AI models, managing the model lifecycle, and implementing production-grade RAG systems using Python, Docker, and Kubernetes.
Staff AI Solutions Engineer building and deploying scalable AI/ML and GenAI solutions (RAG, LLM orchestration) across onsemi's business functions, using Azure ML, LangGraph, MLflow, and enterprise integrations.
Lead end-to-end deep learning and graph neural network solutions on Databricks Lakehouse, driving AI strategy and mentoring teams at a major grocery retailer.
ML Engineer — GetTransfer GetTransfer ищет опытного ML Engineer для разработки и внедрения ML-решений в production. В периметре компании — широкий спектр проектов: от RightTech и mobility до fintech и других…
Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are…
The AI Engineer Lead is responsible for the architecture, engineering standards, and production readiness of AI Factory solutions that enhance mortgage workflows, productivity, decision quality, and user experience. The role involves technical leadership for agentic workflows, document and policy intelligence, retrieval augmented generation, deterministic automation, model evaluation, observabilit
Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence. We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and…
Build and scale secure AWS infrastructure (EKS, Lambda, CI/CD) to run production AI/ML workloads, own observability, and drive platform reliability for Zscaler’s AI-forward security products.
Design and maintain scalable data pipelines and infrastructure to process complex chemical data (chromatograms) for ML model training and deployment in a healthcare/climatetech context.
Designs and maintains data infrastructure for federal government clients, building scalable pipelines and integrating ML models using Python, AWS, and tools like Apache Airflow and Spark.
About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the…
Design, build, and deploy production-ready AI agents and agentic workflows on AWS using LangGraph/CrewAI, RAG pipelines, and Model Context Protocol as part of nearshore software development PODs.
LAKEORA is a Riyadh-based data and AI advisory firm and a pure-play Databricks partner. We build the governed data platforms that Saudi enterprises run their decisions on, going deep on one platform rather than wide…
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