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AI/ML Engineer
We are seeking a skilled AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence and machine learning, with a focus on large language models (LLMs). As an…
Machine Learning Engineer - AWS / DevOps / AI Platforms
Machine Learning Engineer - AWS / DevOps / AI Platforms APS6 equivalent | Federal Government 12-month contract + potential 12-month extension Hybrid working arrangements Australian citizenship required Must be able to…
Senior AI/ML Engineer - LLM/Generative AI
Senior AI/ML engineer in Mumbai focused on designing, building, and deploying Generative AI solutions: LLM applications, prompt engineering, and RAG pipelines for search and document processing. Core stack is Python with LangChain/LlamaIndex, TensorFlow/PyTorch, vector databases, FastAPI/Flask, and AWS/Azure/GCP.
Senior AI Engineer - Machine Learning/Generative AI
Senior AI Engineer at Ascendion designing, building, and deploying end-to-end AI/ML and generative AI solutions on cloud platforms (preferably GCP), with emphasis on healthcare data security (HIPAA) and collaboration with US-based stakeholders. Based in Hyderabad or Chennai.
Machine Learning Engineer (TS/SCI)
Machine learning engineer on a geospatial-intelligence R&D program: designs, trains, and deploys AI/ML and computer-vision (ATR) models plus MLOps pipelines over multi-INT data. Requires US citizenship, an active TS/SCI clearance, and 5+ years programming with the Python ML and geospatial stack.
安全AGI实验室-网络安全大模型算法专家-北京/杭州
1. 参与构建面向阿里集团海量安全业务的网络安全大模型,系统性突破在代码理解、漏洞挖掘、攻击模拟等高复杂度场景中的瓶颈; 2. 负责高质量安全数据的构建,涵盖代码漏洞检测与修复、程序逆向与分析、安全领域工具(包括但不限于Fuzz、反编译、漏扫等)等多样化安全数据的加工处理和合成优化; 3. 开展大模型全流程训练工作,包括预训练、SFT、Agentic RL等; 4.…
安全AGI实验室-大模型Agent检索算法专家-北京/杭州
我们正在构建面向组织上下文的创新产品,将散落在人脑、群聊、会议、文档中的组织经验(碳基资产)编译为Agent可消费的组织上下文(硅基资产),让每一个业务Agent都能带着组织的记忆工作。我们希望你可以帮助构建Agent友好的上下文检索系统,提升企业级Agent对人类工作中的会议、群聊、文档等上下文的使用效率和效果。 1、计算机、人工智能相关专业硕士及以上学历…
AI Engineer - Python/Django - AI/ML
AI Engineer in Bangalore building AI/ML applications with Python, SQL, and back-end frameworks Django/FastAPI, plus front-end work. Requires Git/VSCode workflows, strong data structures/OOP fundamentals, and exposure to machine learning and generative AI, with Kubernetes and React/Angular as nice-to-haves.
Research Engineer - AI Safety Systems and Guardrails
We are seeking an experienced Research Engineer to join the System Safety team within Product & Applied Research org at Meta Superintelligence Labs. This role will focus on researching and developing advanced machine…
Starszy Specjalista ds. Inżynierii ML/AI (K\M)
Senior ML/AI Engineer at NASK, a Polish state research institute, building and deploying production LLM/NLP solutions that support Polish public administration. Day to day: Python backend/API development, RAG pipelines, model evaluation and fine-tuning, and work with relational and vector databases.
Senior Machine Learning Engineer (Databricks)
Senior machine learning engineer at Entrada AI, a Databricks consulting partner, designing and deploying ML models end-to-end (data pipelines, model serving, monitoring) for Fortune 500 clients. Core stack: Databricks, Python/R/Java, TensorFlow/PyTorch/scikit-learn, and MLflow.
Machine Learning Ops Engineer
Build and deploy LLM-powered tools, RAG systems, and agentic workflows for autonomous aircraft systems, focusing on retrieval quality, tool integrations, and production-grade AI infrastructure on Kubernetes.
Senior ML Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior ML Engineer based in India. Join a technology-driven engineering team focused on…
Lead AI/ML Engineer
Lead AI/ML Engineer at Kody Technolab in Ahmedabad who designs, trains, and deploys ML, deep learning, and generative AI/LLM solutions end to end — building pipelines, experimenting with foundation models, and optimizing production performance with Python, PyTorch/TensorFlow, and MLOps tooling.
Senior Software Engineer, Machine Learning Infrastructure, Tapestry
MLOps engineer on Tapestry (a Google/Alphabet group building the AI-powered electric grid), designing CI/CD pipelines, containerizing training code, and deploying ML models to production on GCP (Vertex AI, GKE). Core stack: Python, Docker, Git/CI-CD, and cloud ML infrastructure.
Senior Software Engineer, Machine Learning Infrastructure
MLOps engineer on Tapestry (an Alphabet/Google group building an AI-powered electric grid): designs CI/CD pipelines, deploys ML models to production on Vertex AI/GKE, and automates training and batch-prediction workflows, partnering with ML engineers and data scientists. Core stack: Python, Docker, GCP/Vertex AI, and CI/CD tooling.