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What You would do at KPMG: collaborating on the design and development of ML‑based applications and their backend components helping to select the most applicable solutions for a given business problem writing clean,…
Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning Development of efficient, scalable training and inference pipelines Mentoring junior ML engineers, reviewing code…
Architect and lead the development of large-scale ML systems and model pipelines Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions Define and…
Senior Data Scientist generating medical insights and forecasts from longitudinal clinical datasets (genomics, imaging, labs) at a membership-based healthcare practice, using Python, SQL, Snowflake, dbt, and Omni Analytics.
As a Data Engineer at Davidson, you will design, develop, and maintain scalable ETL/ELT data pipelines and data warehouses on Google Cloud Platform. You will work with technologies like BigQuery, Python, SQL, and Airflow to support data-driven projects for various clients.
This entry-level AI Engineer role involves training and deploying deep learning models for industrial robotics applications. The position requires hands-on experience with Python, PyTorch, and Docker to improve model performance and support edge deployments.
Full Stack Developer (Junior or Senior) based in Bologna designing and developing large-scale web platforms and microservices using Java/C#, .NET Core/Spring Boot, Angular 2+, React.js, alongside messaging (Kafka, RabbitMQ), containerization (Docker, K8s), and search/monitoring stacks.
ML Engineer at ADASTEC training, evaluating, and deploying perception models (2D/3D object detection, LiDAR, camera-radar fusion) for SAE Level-4 autonomous driving. Core tech: PyTorch, ONNX, TensorRT, Docker GPU training.
Senior DevOps Engineer designing and maintaining scalable containerized infrastructure (Docker, Kubernetes/OpenShift), CI/CD pipelines via GitLab, and monitoring with Prometheus/Grafana at an AI-focused company in Istanbul.
Principal AI Data Scientist at Anaplan in London designs and deploys advanced AI models, including generative and predictive systems, to enhance enterprise planning and decision-making using Python, LLMs, and MLOps.
Principal Data Scientist at Anaplan builds and deploys AI models, including LLMs and generative systems, to enhance enterprise planning and decision-making using Python and cloud infrastructure.
Build ML models and pipelines for enterprise scenario planning, integrating time-series forecasting and demand sensing into Anaplan’s AI-infused platform.
FuriosaAI is seeking a Software Engineer to design and implement high-performance kernels for their proprietary AI-native compute platform. The role involves optimizing AI model performance on hardware, developing diagnostic tools, and enabling end-to-end programming for AI workloads.
FuriosaAI is seeking a Software Engineer to develop middle-end compiler optimizations for their AI inference hardware. The role involves designing IR abstractions, scheduling algorithms, and performance models to improve the efficiency of deep learning workloads on specialized compute platforms.
FuriosaAI is seeking a Software Engineer to develop the front-end of their AI compiler, focusing on model ingestion, graph-level optimizations, and the design of a tensor-level kernel language. The role involves translating deep learning models into internal representations and collaborating on compiler infrastructure to maximize performance on AI hardware.
Build and optimize a high-performance inference engine for LLMs and multimodal models on FuriosaAI’s NPUs, collaborating with compiler and hardware teams to maximize throughput and efficiency.
As an AI Research Engineer Intern at FuriosaAI, you will conduct research on advanced AI models, focusing on areas like LLMs and RL, and contribute to the development of a proprietary AI compute platform. You will work with PyTorch and other deep learning tools to build high-performance AI solutions.
AI Research Engineer developing proprietary LLMs for agentic tasks, RL post-training pipelines, and frontier AI research at a Korean AI chip company, primarily using PyTorch and deep learning frameworks.
Senior AI Research Engineer owning end-to-end ML model development—from research through production deployment—across generative AI, computer vision, and real-time audio/signal processing for consumer creative-learning apps.
Develops AI agents and LLM-driven security solutions for Wiz’s cloud/AI platform, collaborating with engineering and security teams to enhance threat detection and automation.
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