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Freelance Data Science Engineer (Python & SQL)
Freelance, project-based role at Mindrift: design and verify original computational data science problems (Python with pandas/numpy/scikit-learn, plus SQL) that simulate real-world business workflows to support GenAI model training. Estimated 10-20 hours/week during active project phases, paid up to $55/hour.
AI/ML Engineer (Agentic AI & Data Science) #IAC
Singapore-based AI/ML engineer role: build agentic AI workflows, RAG pipelines, vector search and LLM applications (Dify, LangChain/LangGraph), plus predictive ML models and Python REST APIs deployed on Docker/Kubernetes/OpenShift. Posted via Recruit Express, apparently for a banking/wealth-management employer.
Product Engineer (Advance Data Analytics), Heterogeneous Integration Group...
Product Engineer in Micron's HBM Product Engineering Advanced Data Analytics team, driving semiconductor yield and quality improvement through statistical analysis, machine learning, and AI models, while building data infrastructure pipelines and collaborating with cross-functional teams. Onsite in Singapore with travel to Taiwan.
AI/ML Engineer (Agentic AI & Data Science)
About the Role We are seeking an AI/ML Engineer with strong Data Science and Generative AI capabilities to design and deliver next-generation AI solutions across Global Financial Markets. The role will focus on…
Research Engineer I (Computer Science / Artificial Intelligence / Data Science / Electrical Engineering)
Research Engineer at the Alibaba-NTU ANGEL sustainability lab in Singapore, developing Green AI: LLM and ML algorithms, efficient techniques (PEFT, RAG, prompt engineering, efficient inference), benchmarking experiments, and academic publications. Core stack is Python with PyTorch/TensorFlow and distributed training on large-scale datasets.
Remote Machine Learning Engineer - Big Data Analytics
Fully remote machine learning engineer for a data analytics firm, owning the end-to-end ML lifecycle — building data pipelines, training and deploying models on big data tech like Spark/Hadoop — using Python/Scala, cloud ML services, and MLOps practices.
Binance Accelerator Program - Data Scientist (LLM & Trading)
A Binance Accelerator Program (internship) data scientist building AI-powered financial trading agents on Web3 data: post-training LLMs with SFT/RLHF so they can use Binance's internal trading skills, maintaining benchmark datasets, and iterating agent workflow prototypes. Core stack: LLM post-training frameworks, PyTorch/TensorFlow, Hugging Face, DeepSpeed, vLLM.
AI Engineer
AI Engineer at NTT DATA's Romania Excellence Centre in Bucharest, building LLM-powered multi-agent systems for a digital banking client. Day-to-day: designing agentic workflows, orchestration, RAG pipelines, and evaluation suites with Python, Google ADK/LangGraph, vector databases, and cloud platforms.
AI Engineer, Time-Series Signal Processing
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
Scientifique des données - Intelligence artificielle générative
En tant que scientifique des données à Ubisoft Montréal, vous contribuerez à un produit technologique qui intègre l’intelligence artificielle (IA) générative aux fonctionnalités de nos jeux. Vous travaillerez avec une…
AI Information Security Engineer
Information Security Engineer focused on AI security at Tenable: designing and implementing security controls across the AI/ML lifecycle, securing LLMs and agentic workflows, and building AI-driven security tooling and standards. Core tech: appsec/DevSecOps practices (SAST, DAST, threat modeling), Python/Go, PyTorch/Hugging Face, and AWS/Azure/GCP.
Binance Accelerator Program - Research Data Scientist
Student accelerator role at Binance: a research data scientist working alongside senior scientists on LLM reasoning, post-training, and agentic AI applied to crypto markets. Day to day: run experiments, implement recent research in PyTorch/Hugging Face, evaluate and log models, and collaborate with engineers toward production systems.
Engenheiro de Machine Learning
Machine Learning Engineer working on-site in Curitiba for LUZA Group, building ML solutions for Grupo Senff: developing, training, and deploying predictive models, data pipelines, and MLOps practices (versioning, monitoring, retraining) using Python, Scikit-learn/Pandas/NumPy, SQL, Docker, Git/CI-CD, and REST APIs.
Pioneer Talent Program - Research Data Scientist (APAC Remote)
Research-first Data Scientist role on Binance's Pioneer Talent Program: conducts original LLM/generative-AI research — post-training alignment and reasoning, test-time scaling, and multi-agent coordination for trading agents in adversarial crypto markets. Day to day: designing experiments, training models (Python/PyTorch), and building evaluation frameworks.
Lead Research Scientist - Machine Learning
Lead a team to design and implement advanced AI/ML algorithms for national security applications, focusing on signals exploitation and predictive analytics using deep learning and statistical methods.
Lead Software Engineer
Lead Software Engineer at STR (Intelligence Division) operationalizes Python-based machine learning and computer vision pipelines for national security programs — building robust backend architectures, real-time messaging systems, and distributed data workflows. On-site in Arlington VA, Dayton OH, or Woburn MA; ability to obtain a U.S. security clearance required.
Senior Software Engineer
Senior Software Engineer at Stack AV developing online/offline mapping algorithms and ML/deep-learning systems for L4 self-driving trucks. Day to day: design, train, and optimize perception models (camera/lidar) for real-time, safety-critical onboard deployment using PyTorch, Python, C++, and TensorRT.
Senior Machine Learning Engineer
Senior ML engineer on Samsara's Safety AI team building the cloud-side ML backend for AI dash cameras: serving low-latency ML APIs, petabyte-scale data pipelines, model evaluation/monitoring, and edge-to-cloud optimization using languages like Python, Go, or C++ with tools such as PyTorch, Ray, and MLflow. Remote within the US or Canada.
AI Engineer - Simulation Environments
As an early member of Vesoma's AI team in Munich, you design and build large-scale physics-based simulation and evaluation environments for humanoid robots (MuJoCo/MjLab, Isaac Lab), curate robot/scene asset libraries, and run GPU-parallel benchmarks while aligning sim-to-real with hardware and product teams.