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The Senior Java Developer will perform analysis and programming tasks using Java/J2EE, Spring, and Angular. The role is based in Milan and involves client interaction and problem-solving.
Action ICT SRL is seeking a middle to senior Java developer to join their project team in Bologna. The role involves full-stack development using Java/J2EE, Spring, Hibernate, and Angular, with a focus on client interaction and problem-solving.
Develops autonomous agent systems that solve complex engineering problems via AI-driven exploration, optimization, and self-improvement, integrating LLM post-training and multi-agent workflows for production-grade solutions.
The Java Back-end Developer will build innovative solutions for public administration projects using Java, microservices, and frameworks like Quarkus and Spring Boot.
DriveNets is seeking a senior software engineer to develop high-performance GPU/NPU programming frameworks, runtime systems, and libraries for AI/ML workloads. The role involves optimizing distributed NPU ecosystems and ensuring compatibility with major AI frameworks like PyTorch and JAX.
Java back-end developer building microservices solutions for central and local public administration using Java, Quarkus, and Spring Boot.
Lead ML-based software development at RBC Borealis, prototyping and integrating algorithms in NLP, deep learning, and time series using Python and frameworks like PyTorch, JAX, or TensorFlow.
Own the end-to-end post-training pipeline—SFT, RL, DPO, evals, distillation, and deployment—on top of SF Tensor's custom GPU compiler and Model Foundry infrastructure, working primarily with PyTorch or JAX.
Design and implement RL and agentic systems that search over massive program spaces to optimize GPU kernels for a high-performance compute compiler, using PyTorch/JAX, LLM agents, and real-hardware reward signals.
Senior ML Engineer building end-to-end AI/ML systems for retail pricing optimization, with initial focus on agentic AI and A2A protocols using Python, agentic frameworks (ADK/LangChain), and cloud-native environments (GCP/AWS).
The Java Developer will maintain and develop new features for Kentia Player solutions using Java 8 and Linux environments. The role involves working with REST APIs, Maven, and network protocols in a hybrid, professional team setting.
The Backend Java Developer will assess and modernize Java applications for a financial sector client, focusing on architecture, code quality, and technical risk identification. The role requires deep expertise in the Java ecosystem (Java 8-21), Spring Boot, and Jakarta EE to provide technical recommendations and documentation.
Founding ML Engineer building production-grade ML pipelines and deploying LLMs/generative models from the ground up at an early-stage AI company, using Python, PyTorch/TensorFlow/JAX, and cloud infrastructure.
Research and engineer secure-by-design architectures for Brave's LLM-powered web agents and chatbots, running adversarial evaluations and prototyping security-focused training techniques using Python and ML frameworks like PyTorch or JAX.
An Applied Scientist building AI/ML models and systems for high-stakes decisions in pricing, claims management, underwriting, and predictive health, using Python, PyTorch/JAX, and causal inference methods.
Senior Java Developer building and maintaining backend integration services for critical transactional payment systems using JavaEE, Oracle WebLogic, Apache Tomcat 9, and Oracle Database 19c in a hybrid setup near Madrid.
Senior full-stack AI developer builds, fine-tunes, and deploys neural networks (Transformers, CNNs, etc.) using Python, PyTorch, and TensorFlow, then integrates them into secure on-premise systems and edge devices.
Analyze and optimize ML inference performance (latency, memory, power) on Apple Silicon, working across the SW stack, low-level drivers, and HW debug involving CPU, GPU, and Neural Engine using Python/C++ and frameworks like PyTorch and MLX.
Build and optimize the Core ML Runtime and graph compilation system for on-device ML execution across Apple platforms, using C++/Swift, compiler stacks like MLIR/LLVM, and deep systems programming expertise.
Analyze and optimize on-device ML model performance (latency, memory, power) on Apple Silicon for iPhones and Macs, working with frameworks like PyTorch and MLX across CPU, GPU, and Neural Engine.
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