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Location: Poland We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving…
The Associate Director of Machine Learning will lead the development of generative AI and agentic systems to transform financial analysis at Fitch Ratings. This senior individual contributor role focuses on architecting production-grade AI platforms, establishing technical standards, and mentoring engineers within the company's new Toronto-based AI innovation hub.
This is a student co-op role at RBC Borealis where the intern will develop machine learning-based software solutions, working on tasks ranging from data pre-processing to algorithm implementation and front-end development. The role involves collaborating with research teams and utilizing distributed computing frameworks to solve complex financial problems.
This 4-month student co-op role at RBC Borealis involves developing end-to-end machine learning solutions, from data pre-processing to algorithm implementation and front-end development. The intern will collaborate with research teams to build scalable, data-driven financial applications using technologies like Python, C++, Spark, and various deep learning frameworks.
Design and scale enterprise AI agent systems using Python, ML, NLP, and generative AI (RAG pipelines) for regulated industries like financial services.
The Software Engineer will design and develop software applications for automated semiconductor manufacturing systems. The role involves collaborating with cross-functional teams, applying machine learning and mathematics to solve technical problems, and providing on-site troubleshooting support.
Staff Data Scientist builds AI/ML and operations-research models to automate supply-chain decisions for Coupang’s Taiwan e-commerce logistics, collaborating with product, engineering, and business teams.
Staff Data Scientist to build AI/ML and operations-research models for Coupang’s supply-chain automation, forecasting demand and optimizing fulfillment in Taiwan’s ecommerce operations.
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.…
Principal Solution Architect at DHL designs and implements enterprise-scale IT architectures for logistics systems, ensuring alignment with business needs and industry standards while guiding cross-functional teams.
Lead AI Engineer responsible for the end-to-end AI/ML lifecycle at an education company, including building data pipelines, developing deep learning, generative AI, and NLP models, and designing scalable AI/ML infrastructure.
Role overview We are looking for a Staff Data Scientist to lead the development of advanced machine-learning capabilities across large-scale enterprise datasets. This is a senior individual-contributor role combining…
The Senior Software Test Engineer will validate neural network operators and libraries for AI computational storage products using C++ and Python. The role involves performance benchmarking, numerical accuracy validation, and debugging across the compiler, runtime, and hardware stack.
Leads end-to-end validation of AI software stack (neural network operators, compilers, runtimes, memory management) to ensure correctness, scalability, and performance for a next-gen AI computational storage platform.
Senior Data Scientist Company: Norstella Location: Remote, United Kingdom Date Posted: Aug 5, 2026 Employment Type: Full Time Job ID: R-2090 **Description** **About Norstella** Norstella is a group of prominent…
Develop SLAM algorithms using LiDAR and visual sensors to enable autonomous navigation for service robots in logistics and hospitality settings.
Build and optimize ultra-low-latency ML inference pipelines for quantitative trading, tuning GPU/FPGA kernels and memory hierarchies to microsecond precision.
Builds and deploys AI/ML models for a client’s product, focusing on data pipelines, model optimization, and production integration using Python, TensorFlow/PyTorch, and cloud platforms.
Designs, builds, and optimizes data pipelines and ML models (e.g., decision trees, random forests, deep learning) while collaborating with teams to analyze data and share insights. Applies testing, Agile/Scrum, and CI/CD practices.
Build and deploy ML/LLM solutions end-to-end for diverse clients, from data prep to production APIs, while collaborating in a team of ML engineers.
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