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Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation…
The Data Scientist will develop and integrate machine learning models and AI agents into core insurance and healthcare processes at Allianz. The role involves end-to-end data pipeline management, from engineering to deployment, using Python and modern AI architectures.
Owns sensor and perception feasibility for robotics and Physical AI projects, evaluating hardware like XR headsets, depth cameras, and IMU rigs to meet sub-centimeter accuracy and hand-keypoint fidelity requirements.
Game Gears is seeking a Product Analyst to support mobile game development using Python, ClickHouse, and Tableau. The role focuses on analyzing gameplay mechanics and leveraging AI tools to optimize game performance.
The Data Scientist will develop and deploy AI agents and LLM-based solutions to automate business processes within Sberbank. The role involves fine-tuning LLMs, implementing RAG, and solving complex NLP tasks using Python and modern AI frameworks.
Junior Data Scientist builds and improves machine learning pipelines for recommendation systems using Python, PySpark, and PyTorch to personalize user experiences across banking, e-commerce, and other sectors.
Data Scientist building an in-house coupled simulation framework for dense plasma focus fusion machines, including radiation models, surrogate models, and data pipelines for shot diagnostics—primarily using Python (NumPy, SciPy, JAX/PyTorch) with C++/Fortran as needed.
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Data Analyst at Sberbank's pension fund analyzing data for management and regulators using advanced SQL, Python, and data warehouses (Greenplum, Hadoop) to build BI marts, automate reports, and deliver product and client-behavior insights.
Designs and maintains automated testing frameworks for embedded networking systems using Python, HIL testing, and CI/CD pipelines to validate reliability and performance of vehicle and robotics networks.
About Ethernovia, Inc. Ethernovia is developing the future of Ethernet-based networks to realize the full potential of software-defined and autonomous vehicles, robotics and other intelligent machines. Founded in 2018,…
Build and improve classical ML models for anomaly detection and classification in physical measurement data using Python and scikit-learn.
Design and optimize high-performance ETL/ELT data pipelines for structured and unstructured data (sensor, image) and implement agentic workflows and AI orchestration systems (MCP, multi-agent) at a global semiconductor company.
Data Engineer AI at Social You in Madrid, Spain working on AI projects involving Big Data and Machine Learning technologies, designing architectures for AI and generative AI projects, supporting global POCs, and contributing to AI strategy.
Machine Learning Engineer at Deeter Analytics building deep-learning models on market data, working end-to-end from raw data to production models using Python, PyTorch, and GPU infrastructure in a fully remote role.
Senior Data Analyst/Analytics Engineer owning commercial analytics dashboards and data models using SQL, dbt, Tableau/Looker/QuickSight, and Python on an AWS data lake stack at a global payments company.
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI)…
Principal Data Scientist builds and deploys ML models to drive credit decisions and financial progress for customers, using PyData tools and production-grade pipelines.
Senior Data Scientist builds and deploys machine learning models to make lending decisions for a fintech company, using Python and PyData tools.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
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