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Design and build AI-powered web applications by developing ML models with PyTorch and integrating them into production systems via Python (FastAPI/Flask) or Java (Spring Boot) backends, with deployment on cloud or on-premise infrastructure.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing…
The Senior Data Science Engineer will work as a consultant to design, build, and deploy scalable machine learning solutions for public and private sector clients. The role involves leading technical squads, implementing MLOps pipelines, and mentoring junior engineers using Python and cloud-based ML tools.
The Senior Data Science Engineer will lead the development of user-centered data science solutions and MLOps pipelines for diverse clients. This role involves mentoring junior engineers and collaborating within multi-disciplinary teams to deliver scalable, data-driven digital services.
Full Stack Developer on a consultancy-assigned B2B SaaS project, building end-to-end AI-integrated features with Python, FastAPI, React, and Next.js, including on-prem deployments and LLM orchestration.
The Cyber Analytics Engineer will design and develop analytical solutions to identify and correlate cyber threats to Singapore's national security. The role involves data mining, threat intelligence development, and communicating findings using technologies like Python, R, Scala, and various big data tools.
Design and build scalable, resilient data pipelines on Databricks (AWS) for enterprise clients, integrating governance tools and translating business needs into technical solutions.
This role involves building machine learning models, NLP tasks, and chatbot applications using Python, SQL, and Google Cloud's Vertex AI and Gemini. The data scientist will work on RAG applications and vector databases in a lean environment.
The Senior Data Scientist will lead end-to-end machine learning projects, from business problem conception to deployment and monitoring, within a healthcare environment. The role focuses on building scalable AI solutions using Python, GCP, and MLOps practices, while mentoring junior team members.
Наша команда занимается созданием инструментов и решений для внутренней безопасности на базе AI: разработка и развитие AI-агентов, запуск локальных инстансов LLM и их файнтюнинг. Наши планы имеют широкий спектр -…
Data Engineer / MLE at Insud Pharma's AI Labs building end-to-end data and ML pipelines for clinical trials, R&D, and drug manufacturing. Core stack: Python, Docker, AWS/Azure, Airflow/Prefect/Dagster, with MLOps practices.
Build and maintain React Native mobile apps (iOS/Android) alongside Laravel backend APIs and MySQL databases for an AI-driven Arabic language learning startup.
Job Summary We seek an experienced and forward-thinking Software & AI Manager to lead the design, development, and deployment of high-impact software and AI-driven solutions. This role requires a blend of hands-on…
The Applied AI Scientist will design and develop AI solutions, including agentic systems and foundation models, to solve real-world business problems. The role involves rapid prototyping, fine-tuning models, and collaborating with engineering teams to deploy scalable AI applications using Python and PyTorch.
Build and optimize distributed ML training/inference systems for ByteDance’s AI platforms, focusing on scheduling, resource allocation, and model deployment across heterogeneous hardware.
Research Scientist at ByteDance working on ultra-large-scale multimodal recommendation systems, focusing on distributed ML infrastructure, model training/inference optimization, and algorithm-engineering co-design for products like TikTok.
Product Manager owning the roadmap and strategy for an AI-driven EdTech learning platform — coordinating with engineers on AI models, leading demos, and managing vendor and stakeholder relationships.
Develops data-driven insights and analytical models for national security missions, applying statistical techniques, AI/ML, and NLP to large datasets to support operational decision-making and intelligence analysis.
This 12-month machine learning residency involves developing predictive and prescriptive AI models for construction project management. The resident will work with Amii scientists and Nialli to build AI-powered solutions using LLMs, RAG, and agentic systems.
Senior AI Engineer at RBC building production agentic AI and generative AI systems — including MCP servers, RAG pipelines, and multi-agent workflows — using Python, LLMs, and cloud platforms.
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