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Senior Machine Learning Engineer builds and optimizes deep-learning models for customer behavior prediction using PyTorch/TensorFlow, collaborating with client teams to drive business decisions at scale.
The Data Scientist will build and maintain machine learning models and data pipelines within a Databricks Lakehouse environment to support marketing intelligence. The role involves data preparation, feature engineering, and model evaluation using Python, PySpark, and SQL.
The Software Engineer will develop, maintain, and scale web and mobile applications by integrating back-end services and databases. The role requires proficiency in a variety of languages including NodeJS, ReactJS, and Flutter, alongside strong problem-solving and network diagnostic skills.
Senior ML/AI Engineer designing and deploying production ML models for demand forecasting, sentiment analysis, and agentic AI systems at an early-stage AI-native consumer intelligence platform serving enterprise retail clients.
Develop and deploy AI/ML models for national security applications, analyzing large datasets to extract insights and building scalable backend services and user interfaces.
Build and deploy geospatial AI models to detect pipeline anomalies and dune migration using satellite imagery, SAR techniques, and PyTorch, for a global IT services client.
The Data Scientist will develop and manage machine learning models for wholesale power and gas market applications, including price forecasting and trading algorithms. The role involves the full ML lifecycle, leveraging deep learning and cloud technologies to support the Commodities team in the ERCOT and PJM markets.
Company Overview: Growve is a leading health and wellness company specializing in acquiring, operating, and growing world-class brands within the active nutrition, dietary supplement, and beauty verticals. Our…
Primary Function of Position As a Staff Data Scientist – Simulation Motion AI, you will lead the design of scalable simulation-data systems used to train, evaluate, and improve robotic policies for complex,…
Leads a team building and optimizing machine learning models for marketing attribution, customer acquisition cost, and lifetime value to drive growth in a fast-scaling fintech platform.
This role involves researching and developing ICT and AI-driven software solutions for energy infrastructure, smart grids, and smart cities. The researcher will design cloud/edge architectures, manage data pipelines, and contribute to technical publications within a hybrid work environment.
Build and scale the Java-based calculation engine that powers Addepar’s financial analytics platform, handling distributed microservices and time-series data for investment workflows.
Senior Machine Learning Engineer designs, trains, and deploys ML models for payment and business challenges using Python, PySpark, and Azure Databricks in a fintech environment.
The Data Analyst will join the Revenue Intelligence team to monitor financial performance, build predictive models, and develop anomaly detection systems for an e-commerce platform. The role involves using SQL and Python to perform causal inference and translate complex data into actionable insights for senior leadership.
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9…
At DS STREAM, we harness the power of AI, Data Science, and Cloud Solutions to drive growth and innovation for global brands. With over 180 experts and 130+ industry certifications, we deliver impactful solutions…
Датаюниверс – аккредитованная ИТ компания , надежный партнер на цифровом поле фармацевтической отрасли России. Мы развиваем внутреннее направление искусственного интеллекта и машинного обучения для группы компаний.…
Design and build real-time telemetry pipelines and control systems that integrate datacenter power/compute with the electrical grid, using Python/C++ and industrial protocols like Modbus or OPC-UA.
Build and deploy AI/ML models and LLM-based solutions in Palantir Foundry/AIP, integrating them into enterprise workflows for analytics and automation using Python and ML libraries.
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