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Build and deploy end-to-end ML models and AI services (LLMs, simulations, digital twins) using Python, TensorFlow/PyTorch, Docker/Kubernetes, and MLOps tooling in a DevOps environment.
Build and deploy deep-learning models (transformers, attention-based) from scratch to drive Adobe’s enterprise revenue, GenAI analytics, and personalized admin assistants, owning the full stack from training to production.
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s creative and document platforms using Python, TensorFlow/PyTorch, and distributed systems.
Designs and optimizes AI model architectures for specialized hardware, mapping model requirements to efficient silicon implementations and improving performance and scalability.
Build and lead AI-powered financial risk systems using Python, TensorFlow/PyTorch, and cloud platforms to deliver credit scoring and fraud detection for banking and insurance.
Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with…
Design and implement big-data architectures for retail AI teams using Databricks’ platform, APIs, and open-source tools like Spark and MLflow.
Builds and scales ML models for ad predictions and monetization across Apple’s App Store and News platforms using deep learning and retrieval systems.
Build and deploy ML models and AI systems to power creator intelligence, audience analytics, and content performance products using proprietary datasets and LLMs.
Build ML-driven signal platforms for Apple Ads, focusing on retrieval, relevance, and privacy-first ranking using LLMs, semantic search, and multimodal learning.
Builds ML models to predict ad interactions and optimize monetization for Apple’s App Store and News platforms using deep learning and retrieval systems.
Build and deploy AI models for real-world applications, working with large datasets and collaborating with engineers to integrate ML solutions into production.
Builds and optimizes Deep Learning-powered ad-buying systems (RTB model) for global brands, focusing on ML model training, distributed system performance, and production infrastructure.
Postdoctoral researcher analyzing heavy-ion physics data from sPHENIX and ATLAS experiments, developing scientific ML models for particle reconstruction, and publishing findings in peer-reviewed journals.
Lead a team building real-time probabilistic models for sports betting odds and in-play decisions using Python/R and ML frameworks.
Overview At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s…
Boardy is an AI super-connector that helps ambitious professionals build a network that matters. We believe that talent and drive shouldn't be limited by who you know. In a world of LinkedIn spam and transactional…
Build and deploy AI/ML models for defense and intelligence use cases using Python and PyTorch, from research to production deployment.
Builds Power BI dashboards and automated data pipelines for DoD acquisition decisions using SQL, Python, and Power Automate.
Lead a team building AI models for image classification, text categorization, and document extraction using Python, PyTorch, TensorFlow, and AWS SageMaker/Bedrock.
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