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Builds and maintains cloud-based backend systems for a marketing data integration platform, focusing on scalable APIs, AWS infrastructure, and data processing with Python/Java.
Supports a derivatives trading desk by analyzing futures/options markets, backtesting strategies, and assisting with real-time trading decisions using quantitative models and Python/R/C++.
Data Scientist & AI Engineer role in Rome (hybrid, 3 days/week on-site) focusing on Python-based ML/NLP solutions, leveraging HuggingFace, OpenAI, and generative AI technologies.
Builds and deploys predictive models, analyzes datasets, and creates dashboards to solve business problems for a nonprofit R&D org; bridges technical and non-technical teams using Python, SQL, and ML.
Overview Would you like to work on a product that transforms Microsoft AI technologies and a modern-work suite to help millions of users work better and faster together? Do you enjoy working with teams that leverage AI…
About Goodie AI: Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand…
Senior Data Scientist building ML and GLM-based pricing models for P&C insurance products, deployed via Databricks/Spark workflows. Core tech: Python, Databricks, PySpark, SQL, GLM, XGBoost/LightGBM.
Designs and automates photonics Process Design Kits (PDKs) using Python and EDA tools, ensuring accurate simulation and layout verification for high-speed AI data center hardware.
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of…
TyrAds is seeking a Data Scientist to build, deploy, and monitor real-time machine learning models for their adtech platform. The role involves optimizing inference latency, conducting A/B tests, and managing data pipelines to improve personalization and fraud detection.
This entry-level data science role involves analyzing spacecraft manufacturing and telemetry data to identify anomalies and predict component failures. The position requires proficiency in Python and SQL to build dashboards and predictive models to support mission operations.
Machine Learning Engineer at FloVision Solutions designing, developing, and optimizing computer vision models and deep learning capabilities. Work across the ML lifecycle from data collection to deployment, using Python, PyTorch/TensorFlow, and other ML libraries.
Devoteam is seeking a Senior Data Engineer to design and industrialize data pipelines using Snowflake, Airflow, and Spark. The role involves collaborating with clients to implement data platforms and supporting business use cases.
Lead a team of engineers building AI/ML and data analytics solutions for Army defense supply chain risk management programs, working with Python, SQL, Snowflake, and data pipelines in a hybrid capacity.
In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are…
About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing…
Develops and optimizes risk systems for a proprietary trading firm using C#, .NET Core, and modern backend technologies while collaborating with traders and engineers.
Build and tune the simulation and optimization engine that turns market predictions into price recommendations for airlines and other clients using Python and mathematical models.
The Senior Backend / Data Engineer will design and develop scalable backend services and APIs using Python, Django, and Django REST Framework. The role involves processing and transforming data using pandas and NumPy within an international team environment.
Build and deploy AI/ML pipelines using Python, PySpark, and TensorFlow to power generative AI initiatives and data governance at a global scale.
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