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Radiance Technologies is searching for a talented Research Data Scientist to join the Advanced Cyber Technology Operation in its Scientific and Technical Intelligence Group. This individual will provide expertise in…
A mid-level Python developer (2-3 years) who designs, builds, and deploys AI/ML-powered applications: integrating ML models into production, developing REST APIs for AI services, and running data pipelines. Core stack includes Python, TensorFlow/PyTorch/scikit-learn, Flask/FastAPI, Docker, CI/CD, and cloud AI platforms (AWS SageMaker, Azure ML, GCP).
Freelance, part-time, fully remote role designing computationally intensive data science problems and verified Python solutions to help train GenAI models on Mindrift's AI platform. Core stack: Python data science libraries (pandas, numpy, scipy, scikit-learn, statsmodels), statistics, ML, SQL, paying up to $34/hour.
At Garmin we create products that are designed indoors for outdoor activities. We do this to enable our customers to make the most of their time spent pursuing their passions. We recognize the value of flexibility in…
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Job Description: D entsu is transforming advertising as a force for growth and a force for good. It has become the destination for employees to cultivate meaningful careers and for brands to accelerate growth like…
What You’ll Be Doing: We are seeking a senior-level Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you…
Data Scientist, Mid The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and…
About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each…
Перед нашей командой стоит амбициозная задача по реализации стратегии омниканального взаимодействия с клиентами в контексте продвижения продуктов Банка и Экосистемы. Цель – уйти от классических кампаний продаж и…
We are growing fast - and we invite you to grow with us. In Innowise, you can not only develop as an expert in your field, solve complex problems and influence the result, but also see how the finished project affects…
Senior full-stack developer building custom software that pairs responsive front-ends with Python (Django/Flask) backends and secure RESTful API integrations. Remote for South African citizens, working US business hours (15:00-24:00 SAST), with optional data analytics/visualisation work.
Hire Feed is recruiting a Data Scientist on behalf of a client — a global technology, information and internet company. Day to day the person builds and validates predictive ML models, cleans and analyzes large datasets, maintains data pipelines, and documents insights, using Python/R, TensorFlow/PyTorch/scikit-learn, SQL, and cloud platforms.
Finance Business Support Junior Climate Data Scientist 16-09-2026 Competitive Medior Rotterdam As a Junior Climate Data Scientist at Robeco, you research, develop and maintain climate analytics for investment…
We are seeking a results-driven Generative AI practitioner with end-to-end experience for the execution and deployment of cutting-edge Generative AI and agentic AI solutions across our enterprise-wide Controls…
The Senior ML Engineer will develop and deploy surrogate models to accelerate physics simulations for autonomous air vehicle design. This role involves building training infrastructure, optimizing inference for engineering workflows, and collaborating with domain experts to integrate AI into hardware development.
Accenture (Strategy & Consulting) is hiring a Data Engineer in Argentina to design scalable ETL pipelines and data quality checks, translate client business needs into data solutions, and mentor junior engineers on client projects. Core stack: SQL, Python/PySpark, AWS/Azure, DBT, and Airflow.
Systems engineer on Modal's Inference Runtime team building and optimizing the container runtime stack used to run ML inference and training workloads — working deep in Linux, containers, filesystems, GPU drivers, and distributed systems, with production code in Rust and Go.
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