Description Job Title: Full-Stack Software Developer (AI-Enabled) Work Model: 100% Remote (LATAM) About the Role We are looking for a forward-thinking Full-Stack Software Developer to join our remote team. Beyond…
This position does not provide sponsorship for employment now, or in the future, in any format. Position Summary: The Applied Artificial Intelligence Engineer is part of the Education Design and Informatics team within…
Position Overview We are looking for an experienced Senior AI Engineer with strong full-stack software development skills to build and optimize our next-generation AI platform. You will lead the integration of…
Job Title: Data / Context Engineer Location: Remote Company Overview Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm supporting enterprise clients across the USA and Canada. Project…
Logistics at full potential. At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy…
A Senior ML Engineer at Anduril Industries bridges ML research and production by hardening and deploying ML systems on factory floors and in the cloud. The role owns MLOps infrastructure, inference pipelines, on-call rotations, and cross-functional coordination using Python, PyTorch/TensorFlow, Docker, Kubernetes, and edge/OT environments.
Minimum qualifications ● Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. ● 7 years of experience in technical client services. ● Experience in the…
AI Engineer at seed-stage startup building an AI Business Network. Designs and builds LLM infrastructure (model serving, RAG, agentic workflows, fine-tuning) on cloud with Python, FastAPI, Docker, Kubernetes, and vector databases. Equity-only, part-time remote role.
Location: This is a hybrid remote/in-office role. Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week…
🏆 Great Place to Work® Certified | USA Harbor Compliance is a leading technology platform for entity compliance, helping more than 80,000 businesses and nonprofits manage licensing, tax registration, and legal entity…
About Us At Pinpoint Global, we build training and compliance platforms that organizations rely on to keep their teams skilled, certified, and audit-ready. We're part of the Valsoft Edelweiss Software Group — a…
At Portless, we specialize in global delivery solutions for SMBs and enterprise merchants, enabling businesses to ship direct-from-factory from manufacturing hubs like China to destinations worldwide. As an AI…
We are looking for an experienced Senior AI Engineer with strong Python development skills and hands-on experience designing, building, and deploying production-ready generative AI solutions. The ideal candidate has a…
Requirements Experience: 4+years Experience in software development, AI/ML engineering, or applied AI, including at least 1–2 years of hands-on experience building production-grade LLM applications. Expert-level…
Requirements Experience : 5.5+years Experience in software development, AI/ML engineering, or applied AI, including at least 1–2 years of hands-on experience building production-grade LLM applications. Expert-level…
Somos a Conexa , o maior ecossistema digital de saúde física e mental da América Latina . Contamos com milhares de médicos, psicólogos, nutricionistas e enfermeiros que, por meio de nossa plataforma, conseguem cuidar…
Tiger Analytics is looking for experienced Agentic AI Architect with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science,…
About Refold AI Refold AI is the AI integration platform built for agents, made for modern SaaS companies that need to ship enterprise integrations at scale. We're reimagining integrations with AI agents that work…
Senior Data Scientist building AI agents and ML models to optimize Walmart's supply chain: delivery promises, fulfillment routing, and root-cause analysis. Uses LLMs (GPT, Claude, Gemini), LangChain/LangGraph, RAG with vector databases, and classical ML (XGBoost, clustering) on large-scale data, deployed via Docker/Kubernetes on GCP/Azure with CI/CD.
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