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Senior Data Scientist
Senior Data Scientist at Stampli in Tel Aviv who leads end-to-end AI projects on a SaaS AP-automation platform — from data exploration and modeling through production deployment of LLM/ML solutions — while mentoring junior data scientists. Core stack: Python, LLMs/agentic systems, FastAPI, and AWS.
Data Scientist, Applied AI
Data scientist on an applied AI team at a healthcare data analytics company, building and testing LLM, RAG, and agent-based workflows: tuning retrieval pipelines, benchmarking models, and investigating failures. Core tech is Python, LLMs/embeddings, agent frameworks (PydanticAI, LangGraph), and evaluation tooling.
AI Solutions Engineer - Dallas or Mokena IL - GC or US Citizen required
Builds the AI agent runtimes, enterprise integrations, and APIs that connect AI solutions to Atkore's internal systems (ERP, MES, CRM, databases). Core stack includes Python, REST/GraphQL APIs, cloud (Azure preferred), and LLM/agent architectures like RAG and embeddings.
Senior Software Engineer, GenAI Platform
Senior engineer on Deliveroo's GenAI Platform team (part of DoorDash) builds the shared ML infrastructure that lets teams ship GenAI products to production: LLM/Agent gateways, evals, guardrails, and open-weight model serving on GPUs, plus batch inference and fine-tuning. Core stack is Python, distributed systems, and GPU/Kubernetes-based inference platforms.
Staff Software Engineer, Machine Learning
Builds and ships machine-learning models and optimization algorithms (budget pacing, automated bidding) for DoorDash's ads platform and catalog/product knowledge graph, owning the end-to-end ML lifecycle from training through deployment, experimentation, and monitoring. Hybrid role using PyTorch, PySpark, and Snowflake.
Sr. Machine Learning Engineer
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
AI Engineer/Computer Vision
AI Engineer building the data-extraction backbone of a real estate investment matching platform: extracting geometry from floor plans using Evision/OpenCV with OCR, and building LLM/RAG pipelines to structure unstructured documents, feeding results into PostGIS and vector databases.
Applied AI/ML Engineer
Oddball is hiring an Applied AI/ML Engineer to design, build, and deploy production ML and GenAI features (LLM workflows, RAG, classification, NLP) for its federal-space software work. Day to day spans prototyping, data pipelines, model evaluation, and integrating models into services, using Python, PyTorch/TensorFlow, and SQL/Spark.
Staff Data Engineer
Robots & Pencils, an applied AI engineering firm, is hiring a Staff Data Engineer to design and build enterprise-grade data platforms on AWS — data lakes, warehouses, and batch/real-time pipelines, including AI/ML data flows (embeddings, vector stores, RAG, feature stores). The role owns data architecture and governance, drives platform modernization, mentors engineers, and partners with leadershi
AI/ML Engineer (Agentic AI & Data Science) #IAC
Singapore-based AI/ML engineer role: build agentic AI workflows, RAG pipelines, vector search and LLM applications (Dify, LangChain/LangGraph), plus predictive ML models and Python REST APIs deployed on Docker/Kubernetes/OpenShift. Posted via Recruit Express, apparently for a banking/wealth-management employer.
Working Student AI Engineer – LLMs, RAG & AI Agents
Part-time working-student role building production generative-AI components for client projects: Python services connecting LLMs to enterprise data, RAG pipelines (document ingestion, embeddings, retrieval) and agent steps with tool calls, testing and deployment. Employer AgentixLake GmbH, a Data & AI engineering consultancy.
Data & AI Platform Engineer (all) 60 - 100%
You build and run Finnova's internal data & AI platform in Lenzburg (60–100%): data lake/lakehouse on Microsoft Fabric, ETL/ELT pipelines into systems like Abacus ERP and M365/SharePoint, APIs for AI agents, GenAI building blocks (RAG, Azure OpenAI, Azure AI Foundry, Copilot Studio) and Power BI models — taking prototypes into secure, monitored production.