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Build and ship AI-driven recommendation and ranking models for Taboola’s ad platform serving 600M+ daily users, using Python, PyTorch, Spark, and real-time ML systems.
We are looking for a Middle/Senior Data Scientist to join the Data Science team of a leading financial institution in Ukraine. We are open to considering candidates at the Middle to Senior level, depending on their…
Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its…
A growing B2B SaaS company is looking for an experienced Head of Data Science to lead its Data Science function and drive the next generation of AI and machine learning capabilities. This is a strategic leadership role…
Build and optimize enterprise-scale search for Caterpillar’s eCommerce platform using OpenSearch, vector search, and Amazon Bedrock GenAI to power product discovery and conversational shopping.
The ML Platform Engineer will design, build, and maintain high-performance inference platforms for serving large machine learning models in production. The role focuses on systems engineering tasks such as request routing, GPU utilization, autoscaling, and observability for LLMs and other AI workloads.
Develop and deploy production ML systems for NLP, speech recognition, and data analysis using PyTorch, TensorFlow, and cloud platforms (AWS, Azure, GCP) at a major financial institution.
Senior ML Engineer at Criteo AI Lab in Paris designing, developing, and deploying large-scale recommendation and prediction systems for the advertising platform using Python, PyTorch, and distributed training infrastructure.
Senior Data Scientist building end-to-end traditional ML and advanced analytics solutions—forecasting, optimization, clustering, regression, and recommendation systems—using Python, PySpark, SQL, and Databricks on large-scale datasets.
Lead advanced analytics and GenAI solutions for American Express GCS Marketing, building production ML/LLM systems for real-time targeting, personalization, and next-best-action decisioning using Python and SQL.
Data Scientist at Visa solves complex business problems using advanced data science techniques, AI/ML models (e.g., large language models, transformers), and data-driven frameworks, collaborating with cross-functional teams to integrate solutions and communicate insights. Core technologies include Python, TensorFlow, PyTorch, and scikit-learn.
Job Summary: WHO ARE WE? Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship.…
Leads the development of partner algorithms for Just Eat’s global food delivery platform, optimizing restaurant partnerships and API integrations to enhance convenience and efficiency for millions of users.
Cadence is the clinical AI company automating the treatment of chronic disease. Its Clinical Intelligence takes on the routine, high-volume work of chronic care – monitoring patients, surfacing risks, and coordinating…
Principal Product Manager at Microsoft Commerce to define and drive the personalization strategy for shopping experiences across Copilot, Bing, Edge, and partner surfaces, leveraging signals, models, and ranking systems at scale.
Builds and maintains scalable backend and frontend systems for client onboarding, eligibility processing, and member access in a mental health benefits platform. Owns GraphQL APIs, React/React Native apps, and cross-functional tech strategy with high ownership and rapid impact.
Founding ML engineer building models for lead scoring, conversion prediction, and demand generation using Python, PyTorch/TensorFlow, LLMs, and marketing platform integrations.
Senior to Principal Applied AI Engineers build and deploy AI models and systems for UK public-sector projects, using Python, TypeScript, and cloud platforms like AWS to prototype, evaluate, and iterate on solutions that address government challenges.
This role involves designing and scaling low-latency machine learning architectures for Google's Search and Shopping Ads, focusing on pCTR models and agentic workflows. The engineer will collaborate with research teams to integrate advanced AI into advertising products while optimizing performance on Tensor Processing Units.
Lead the architecture and development of Samsara’s AI-driven predictive maintenance platform for industrial assets and fleets, using IoT data, time-series modeling, and full-stack engineering to reduce downtime and improve operational efficiency.
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