科技職缺
職缺列表
Machine Learning Engineers
Remote US-based ML engineer designing, building, and maintaining machine learning models and pipelines using Python, Java, TensorFlow/PyTorch, SQL, and AWS/GCP/Azure cloud ML services.
Machine Learning (ML) Engineer
ML Engineer integrating and deploying AI/ML models into production at an AI company, optimizing inference pipelines, managing CI/CD, and building agentic and multimodal (text/vision/audio) workflows using Python, PyTorch, TensorFlow, FastAPI, LangGraph, and Docker/Kubernetes on AWS/GCP/Azure.
Machine Learning Engineer
Junior Machine Learning Engineer writing Python code with scikit-learn, TensorFlow, Pandas, and SQL to preprocess data, build models, and evaluate them. Hybrid role based in Pune, India, on a short-term freelance engagement supporting cross-functional teams.
Ai/ml Engineer
A freelance remote AI/ML engineer develops and deploys large-scale systems for intelligent automation, predictive analytics, NLP, and generative AI, using Python, deep-learning frameworks, data engineering, and MLOps across AWS and other cloud platforms.
Ai/ml Engineer
Freelance AI/ML Engineer role focused on building a large-scale AI/ML platform with LLM, RAG, NLP, and generative AI capabilities. Day-to-day work involves data engineering, model development, deployment, MLOps, and system optimization using Python, TensorFlow, Scikit-learn, and AWS in a remote setting.
AI/ML Intern
Onsite AI/ML internship in Pune, India building and fine-tuning LLMs and NLP/CV models with Python, PyTorch, Hugging Face, and supporting REST API deployment.
AI/ML Engineer
Designs and implements ML models for NLP and computer vision using Python, PyTorch, Keras, Hugging Face, and related AI frameworks. Develops RESTful APIs for model deployment and collaborates with cross-functional teams on model training, fine-tuning, and optimization.
AI/ML Intern
An AI/ML internship building and fine-tuning generative AI models (LLMs, NLP, computer vision) using Python, PyTorch, and Hugging Face, with deployment via REST APIs.
Lead AI/ML Engineer, Applied AI
Hands-on technical lead architecting and deploying AI/ML, LLM, RAG, and agentic AI solutions for life sciences, genomics, materials science, and healthcare. Core stack: Python, PyTorch, LangChain/LangGraph, Azure OpenAI, plus mentorship of an engineering team.
Generative AI and Machine Learning Developer
Intermediate analyst on Citi's TTS Analytics team building and shipping production-grade Generative AI and deep learning solutions—including LLMs, RAG, prompt engineering, and fine-tuning—to solve client-experience and revenue problems using big-data tools in financial services.
Generative AI and Machine Learning Developer
Design, build, and ship production-grade Generative AI and deep learning applications for Citi's TTS Analytics team, owning end-to-end delivery of LLM-powered products with RAG, fine-tuning, evaluation guardrails, and MLOps pipelines using Python, PyTorch/TensorFlow, and the Hugging Face ecosystem.
AI/ML Engineer
Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: BI Full 6C (T4) Job Family: Data Science and Data Engineering Job…
Staff Machine Learning Engineer, Community Support Engineering
Staff ML Engineer on Airbnb's Community Support Products team, designing and shipping LLM- and generative-AI-powered customer service systems (chatbots, RAG/search, guardrails, evaluation, agentic AI) at scale.
AI / ML Engineer
AI/ML Engineer at healthcare company Solventum, designing and deploying machine learning and generative AI solutions (LLMs, RAG, agentic systems) end-to-end using Python, PyTorch, TensorFlow, scikit-learn, AWS Bedrock, and Azure AI Foundry.
Machine Learning Systems Engineer, Ads ML Platform
Remote ML systems engineer on Reddit's Ads ML Platform team building scalable feature management, batch/real-time data pipelines, and developer-facing tools that power advertising ML workflows.
Machine Learning Engineer
Build ML infrastructure, pipelines, and models powering next-generation video technology across Apple products. Work across the full ML lifecycle including training, performance optimization, data handling, and production deployment using Python, C++, PyTorch, and CUDA.
AI/ML Engineer в направление «Интеллектуальные решения»
Ключевые задачи: Разбирать запросы заказчиков и предлагать, каким классом решений их закрывать; Разрабатывать и улучшать RAG-пайплайны: поиск, реранжирование, сборка контекста, цитирование; Поднимать и оптимизировать…