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Builds and refines ML models (pricing, forecasting, scoring) and dashboards, using Python, Scikit-learn, XGBoost, and generative AI to deliver data-driven insights for client decision-making.
Leads enterprise AI architecture, designing and deploying scalable ML models (TensorFlow/PyTorch) and data pipelines to transform business operations and enable predictive insights.
Обязанности: Тебе предстоит развивать внутреннюю систему для автоматического анализа текстовых документов с применением больших языковых моделей (LLM): - Разрабатывать и внедрять различные сценарии анализа текстов…
Build and deploy ML models end-to-end in healthcare, from EDA to production on GCP, using Python, LLMs/GenAI, and MLOps pipelines.
Solutions Architect at Databricks working in Field Engineering to help customers design scalable data architectures using the Databricks Lakehouse platform. Partners with Sales on account strategies, builds reference architectures and demos, consults on big data engineering, data pipelines, and ML projects using Spark, Delta Lake, and MLflow.
Designs and implements big data architectures for enterprise customers using Databricks' platform, APIs, and open-source tools like Spark and MLflow, while collaborating with sales and engineering teams.
Solutions Architect at Databricks designs and implements data and AI solutions for customers using the Databricks platform, Apache Spark, and cloud technologies.
Senior Data Scientist builds ML models to predict and reduce customer churn for a meal-delivery marketplace, using Python, SQL, and MLOps to power personalized retention campaigns.
Build AI/ML models and data pipelines for a microfluidic blood-analysis device, turning raw sensor data into clinical diagnostics and deployable prototypes.
Build and maintain data pipelines, analyze large datasets, and create ML models to drive business decisions using SQL, Python/R, and cloud/data tools.
Build and deploy ML models for government and defense projects using Python, TensorFlow/PyTorch, and Palantir platforms in a fast-paced startup.
Designs and builds AI-powered features for a work-management platform, focusing on large language models and machine learning to automate tasks and surface insights.
Build and maintain ML infrastructure and pipelines for anime-streaming platform, deploying models with AWS SageMaker, Databricks, and Kubernetes to power recommendations and system health monitoring.
Senior Data Engineer builds and optimizes PySpark ETL pipelines and ML scoring models to improve contact data accuracy for millions of business professionals, working with AWS services and medallion lake architecture.
Leads AI/ML engineering teams to design and deploy production-grade AI solutions (LLMs, classical models, agent systems) for consulting clients, focusing on architecture, context engineering, and fine-tuning pipelines while supporting pre-sales and strategy.
We are looking for a Senior Data Scientist to join a seed-stage AI project on a full-time contract basis (2–3 months, with possible extension or transition to a permanent role). The project is building a computable…
Build and deploy AI-powered healthcare platforms using LLMs, full-stack development, and MLOps in a remote role for a health-tech company.
Build and maintain governed, scalable analytics pipelines using dbt, SQL, and Python to turn raw data into actionable insights for business decisions in a global car-rental platform.
Build and maintain MLOps/LLMOps infrastructure on GCP to deploy and scale AI/ML models, collaborating with researchers and engineers to bring experiments into production.
Verkor is a French industrial company aiming to pioneer low-carbon battery manufacturing in France. With the backing of prominent industrial companies such as Renault Group, Plastic Omnium and Schneider Electric,…
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