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The Junior DevOps/ML Engineer role at Machine Learning Reply involves working at the intersection of machine learning and infrastructure operations in Germany.
AI/ML Engineer building and deploying data-driven AI/ML products in secure, mission-critical environments for the U.S. National Security community using TensorFlow, PyTorch, Python, and related ML frameworks.
Build and maintain Java-based web applications using Spring Boot and Angular, integrating AI tools to enhance development workflows.
Bist Du ein begeisterter Software Engineer, der sein Fachwissen in einem spannenden und modernen Arbeitsumfeld einbringen möchte? SUMEX bietet Dir eine hervorragende Karrierechance, umgeben von erfahrenen, motivierten…
Designs and deploys AI/ML solutions (LLMs, Agentic AI) in cloud environments, collaborating with cross-functional teams to build scalable AI products.
This is a remote position. Job Title: Junior to Mid-Level Software Developer Location : Remote (Must be available during U.S. Eastern Time: 8:00 AM – 5:00 PM EST) Type : Full-Time | Remote Reports to : Lead Engineer /…
Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and…
Wir möchten unser Team im Bereich Machine Learning verstärken und sind dabei sowohl offen für Talente am Anfang ihrer Karriere als auch für Menschen, die bereits Berufserfahrung gesammelt haben. Entscheidend sind…
Develop and apply AI/ML models for applied research projects at a nonprofit R&D institute supporting government and industry.
Design, train, deploy, and optimize ML models and AI solutions across the full lifecycle using cloud AI platforms and frameworks like TensorFlow/PyTorch.
Build and deploy ML models to optimize supply chains and customer experiences for a global beverage giant.
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Build and maintain ML models and pipelines for document processing and AI agents using Python, LLMs, and libraries like PyTorch and scikit-learn.
Junior developer builds and maintains RPA bots to automate end-to-end business processes, integrating with corporate systems and ensuring security and compliance.
Build, deploy, and maintain AI/ML models including LLMs and agentic systems to power scalable products and workflows.
Junior ML engineer on ALS’s Global AI Team building and deploying AI models, LLMs, and Agentic AI systems with Python, TensorFlow, and GCP.
Build and deploy AI/ML applications using Large Language Models and deep learning frameworks like TensorFlow in a hybrid environment.
Build Python/C++ frameworks and APIs to run Vision and Generative AI models efficiently on custom AI accelerators, profiling and optimizing performance-critical code.
Build and deploy AI models for high-performance web apps and chatbots, integrating with Next.js/React and optimizing for speed and security.
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