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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…
Builds the runtime and programming model for long-running AI agents that run for weeks across distributed infrastructure, focusing on durability, observability, and secure tool execution.
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.
*To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. * Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids…
The Senior Data Scientist will lead complex data science engagements, combining traditional statistical modeling with Generative AI and LLM techniques. The role involves hands-on development, client communication with C-level stakeholders, and technical leadership of junior team members.
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.
Designs and leads AI/ML solutions for an energy client using Microsoft AI Foundry, Azure AI, and Databricks, translating business needs into scalable, secure architectures and guiding implementation from data to deployment.
Build and productionise ML pipelines, tooling, and data workflows for sports betting analytics and trading systems using Python and modern ML libraries.
This internship offers a unique blend of business analysis and data science exploration within the AI landscape. As a Data Scientist Intern (AI Analyst Intern), you'll conduct market research to identify key…
Build and deploy ML models for travel pricing, forecasting, and optimization, collaborating with engineers and analysts to drive revenue and cost improvements.
Lead AI/ML product strategy and roadmap for Vanguard, defining features and guiding cross-functional teams to deliver scalable, client-first solutions.
APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally…
Develops and optimizes ML models for 3D reconstruction, human pose estimation, and computer vision tasks using Python, PyTorch/TensorFlow, and 3D data formats. Integrates algorithms into pipelines and collaborates with cross-functional teams to advance intelligent systems for automotive, aerospace, and defense industries.
Develops fast-running surrogate models and hybrid digital twins to enable predictive maintenance, real-time analytics, and automated design optimization for HVAC systems using physics-based simulations and machine learning.
INTRODUCTION TO EVERNORTH: Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The…
Designs and leads SoC software architecture for automotive driver-facing systems, including ADAS alerts, controls, and driver-monitoring tech, focusing on latency, reliability, and edge AI integration.
Build and ship recommendation models that power a personalized shopping feed, using ML to learn user taste from sparse signals and scale across millions of products.
Owns ML products end-to-end, from problem definition to production deployment and impact measurement, focusing on canonical data, entity resolution, retrieval/ranking, and applied LLMs for career transition tools.
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