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Campus AI/ML Researcher applying machine learning to quantitative trading research and predictive model development at a proprietary trading firm, using Python/C++ and frameworks like PyTorch, TensorFlow, or JAX.
Leads ML research projects to improve RTB House’s deep-learning-powered ad-buying engine, designing and deploying models (e.g., deep neural networks) for user behavior prediction and auction bidding. Focuses on production impact, stakeholder collaboration, and mentoring.
This role involves designing, training, and deploying machine learning models into production at scale for recommendation, personalization, and forecasting systems. You will own the end-to-end model lifecycle, working with technologies like PyTorch, TensorFlow, Kubernetes, and various cloud platforms to serve millions of users.
About us We are building AI systems that can reason, use tools, and complete meaningful work in the real world. Our team works across model post-training, reinforcement-learning infrastructure, large-scale training,…
ML Operations Engineer owning production ML/LLM model serving, deployment, and operations in Mercari's cloud-native environment using Kubernetes, Terraform, Python, and NVIDIA/TPU stacks (Triton, TensorRT-LLM, JAX).
This Machine Learning Engineer role at an AI startup focuses on building and maintaining infrastructure for training, deploying, and scaling AI models. The engineer will develop data pipelines, monitoring frameworks, and optimize systems for performance and reliability.
Java Developer in Dublin performing Java/J2EE analysis and programming using Spring, Hibernate, Angular, and Oracle databases.
Java Developer role focused on Java/J2EE analysis and programming using Spring, Hibernate, JBOSS, and related frameworks in Dublin.
Senior JEE Software Engineer building enterprise Java applications across the full stack with PostgreSQL, Linux, and CI/CD tooling.
Develop production-ready grasping and manipulation algorithms for industrial robots, building a software layer that abstracts robotics complexity into intuitive workflows using C++ and Python.
Software Engineer on the Perception team at Intrinsic (Google's AI robotics group), building and deploying deep learning and 3D computer vision models for industrial robots using frameworks like PyTorch, TensorFlow, or JAX in Python/C++.
Staff Robotics Software Engineer at Intrinsic (Google's AI robotics group) developing and deploying production-ready grasping and manipulation algorithms from research to global deployment, primarily using C++, Python, and applied machine learning.
Mid-level Backend Java Developer at CI&T in Brazil evaluating a financial client's Java application ecosystem—assessing apps from Java 8 to 21, mapping architecture, identifying risks and modernization opportunities, and producing technical documentation.
Build and improve machine learning systems for a proprietary trading firm, focusing on infrastructure, model selection, and research workflows using PyTorch, Jax, or TensorFlow.
The Senior Backend Java Developer will assess and modernize Java applications for a financial sector client, mapping architectures and identifying technical risks. The role requires deep expertise in Java 8-21, Spring Boot, and Jakarta EE to support application evolution and migration strategies.
Build and deploy large-scale biomedical AI models that accelerate drug discovery, turning research into production-ready systems.
Foxtrot Aviation Services is looking for dedicated, energetic, quality and safety focused individuals to join our ever-growing family! Foxtrot Aviation Services is seeking a hard-working technician to help remove…
FoxTrot Aviation Services is seeking a consistently hard working Operations Manager who is committed to reliable quality service, customer relationships, and building a rock steady team. Based at the Jacksonville…
Na CI&T , ajudamos grandes empresas a transformar o potencial da AI em impacto real nos negócios com AI Deployment, execução AI-native e tech-integrated business solutions. Com 30 anos de experiência em…
The Lead Engineer, Machine Learning will build and scale production-ready AI systems, managing the full model lifecycle from training to deployment. The role focuses on creating reliable, high-performance inference systems using Python, PyTorch, and JAX to power proactive, AI-native applications.
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