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An AI Engineer (Engineer 3) designs, builds, secures, and maintains AI/ML and LLM solutions for the Department of Veterans Affairs Cybersecurity Operations Systems Engineering (COSE) program, working with cybersecurity engineers and government stakeholders to deliver production-ready, responsible AI capabilities.
Design and deploy AI-powered features that analyze voice and messaging data to improve customer conversations at scale using Python, ML frameworks, and cloud infrastructure.
Build and maintain scalable backend and full-stack apps using AI tools (Claude Code, LLMs) and Go/React, focusing on automation, performance, and security for a Brazilian online accounting platform.
Senior solutions architect leading the design and delivery of enterprise-grade generative and agentic AI systems on AWS for clients, using Amazon Bedrock, SageMaker, and serverless services. Acts as a strategic technical advisor, prototypes in Python, and mentors delivery teams. Remote within the United States.
Designs and secures AI/ML systems for enterprise clients, assessing risks like prompt injection and data poisoning while guiding safe integration of generative AI tools and cloud services.
The AI Engineer will design, build, and deploy end‑to‑end AI solutions—including LLM‑based applications—for Vega’s cybersecurity platform, handling data ingestion, modeling, and production using Python, modern ML frameworks, and AWS.
Senior Full Stack Engineer owning end-to-end features across the Niks React frontend and Supabase backend, including AI content workspaces and media intelligence dashboards, while mentoring junior engineers. Core stack: React 18, TypeScript, Vite, Tailwind, PostgreSQL/Supabase, Deno, and OpenAI/Gemini APIs.
Hands-on technical lead at Emirates Group IT designing and delivering scalable, secure AI computer-vision solutions (multi-camera detection, tracking, Re-ID, 3D vision) with GPU-accelerated inference and real-time video analytics. Core stack: Python/C/Java/NodeJS microservices, PyTorch, OpenCV, ONNX, TensorRT/CUDA, DeepStream, GStreamer, and AWS/Azure/GCP.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and…
Build and deploy GenAI applications for customers using cutting-edge techniques, tools like LangChain and PyTorch, and Databricks’ platform; advise clients and present at industry events.
As an Applied AI Engineer at ShipBob, you'll design and implement autonomous agents and agentic systems that handle multi-step reasoning, tool-calling, and complex business logic for logistics operations. Core technologies include LLMs, agent architectures (ReAct, Plan-and-Execute), Python, .NET, and frameworks like LangGraph and CrewAI.
The ML/AI Engineer will design, train, and productionize machine‑learning and LLM‑based models, build MLOps pipelines, and integrate AI agents into trading systems, using Python, PyTorch/TensorFlow, GCP/Azure services (Vertex AI, BigQuery ML, Azure ML), Docker/Kubernetes, and related tools.
The Data Scientist will design, build, and evaluate LLM‑based and classical ML models for fraud and risk detection, own prompt engineering, and ship models into real‑time streaming pipelines, collaborating closely with engineers. Core technologies include Python, large‑scale data processing, AWS cloud, and modern ML infrastructure.
RavenPack seeks a contract Senior ML/NLP Engineer (remote, based in Marbella, ES) to design, train, and deploy transformer-based NLP models that plug into its large-scale, low-latency detection pipeline for its financial data analytics/GenAI platform. Day-to-day work spans MLOps, model optimization, evaluation frameworks, and integration with existing production systems.
Contractor role at RavenPack (Marbella, remote with EU timezone) doing hands-on optimization of the search & LLM stack: fine-tuning open-source LLMs (PEFT/LoRA, DPO), inference acceleration (quantization, vLLM, Triton), retrieval improvements, and reproducible delivery via SageMaker and Docker. Initial 3-6 month contract.
Build and fine-tune LLMs, craft AI agents, and deploy ML models using Python, PyTorch/TensorFlow, and LangChain/LlamaIndex in a remote R&D team.
The AI Quality Assurance Program Manager at TripAdvisor defines QA frameworks, audits AI outputs, and delivers executive‑level insights on model performance, working cross‑functionally with data science, product, and CX teams to ensure reliable AI-driven travel experiences.
The Staff Machine Learning Engineer builds and fine‑tunes computer‑vision and scene‑understanding models for offline performance measurement of autonomous vehicles, leveraging Python, PyTorch, transformer‑based vision models and large foundation models, and benchmarks their accuracy across platforms and conditions.
Build and refine computer vision models to measure autonomous driving performance offline, adapting foundation models for scene understanding and benchmarking accuracy across conditions.
Build and deploy ML models (regression, deep learning, LLMs) to power hotel-commerce features like demand forecasting and recommendations using Python, PySpark, and Databricks.
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