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Helsing is seeking an AI Research Engineer to design and train large-scale foundational models for autonomous defense applications. The role involves the full model lifecycle, from data curation to training and evaluation, using Python and frameworks like PyTorch or JAX.
Helsing is seeking an AI Research Engineer to develop 3D computer vision systems for defense applications, focusing on scene understanding, SLAM, and geo-registration. The role involves building and deploying robust AI models that operate under real-world hardware constraints.
Principal Data Scientist builds and scales AI/ML systems for media metadata and discovery, focusing on computer vision, generative models, and multimodal architectures.
CHI SIAMO Adentis Italia è un gruppo europeo di consulenza ingegneristica e IT operativa facente parte del Gruppo MoOngy . Presente in 14 Paesi europei con oltre 8500 dipendenti , abbiamo aperto la prima sede italiana…
Build and optimize OKX’s big-data platform for on-chain analytics, fraud detection, and AI-driven trading tools using Spark, Flink, Kafka, and vector databases.
Senior Machine Learning Researcher at RTB House in Warsaw designing and implementing deep learning models to predict user behavior for ad-buying engines in a global AdTech company.
Senior Machine Learning Engineer at RTB House builds and optimizes deep-learning ad-buying systems and ML infrastructure that serve billions of ad views monthly using Python/C++/Scala, PyTorch/TensorFlow, and GCP.
The Senior ML Engineer will design and operate production-grade AI and LLM systems for equity research, working within a hybrid team at CNBC to build scalable financial data products. The role involves end-to-end ownership of ML pipelines, model training, and inference infrastructure.
Machine Learning Engineer developing 3D human body/hand pose estimation models from egocentric video using PyTorch/TensorFlow, camera calibration pipelines, and deep learning to generate robot training data.
Research-focused role at an AI startup (Abundant) designing next-gen model reasoning/data strategies; bridges frontier AI research and production systems for AGI/ASI applications.
Lead data science initiatives for an AI-driven medical imaging company, designing data curation strategies and evaluating ML models to improve cardiac diagnostic algorithms.
Build AI-driven tools to automate and improve HPE Networking support operations, analyzing structured and unstructured data to predict issues and streamline workflows using ML, AI, and automation.
The Machine Learning Engineer will design, train, and validate computer vision models for autonomous flight systems in safety-critical environments. The role involves managing the full ML lifecycle, including model architecture, evaluation pipelines, and integration with real-world aerospace systems.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Build and deploy ML models for travel pricing, forecasting, and optimization, collaborating with engineers and analysts to drive revenue and cost improvements.
The Senior Associate AI Data Engineer will design and implement scalable data pipelines and machine learning models to solve complex business problems. The role involves collaborating with global stakeholders and utilizing technologies such as Azure, Snowflake, SQL, and advanced analytics tools.
Designs and deploys AI/ML solutions (including generative AI, agentic systems, and RAG) for Disney’s immersive digital experiences, focusing on scalability, reliability, and Responsible AI frameworks.
Senior Data Scientist at Novartis in Barcelona building AI/ML models to extract insights from life-science data and automate analyses that support patient outcomes and business decisions.
Build and apply ML/DL models (including LLMs and computer vision) to analyze semiconductor and electronics manufacturing processes, using Python and CFD/multiphysics tools.
Build and deploy AI solutions using NLP, LLMs, and knowledge graphs for financial workplace investing products, focusing on document processing, assistants, and anomaly detection.
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