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LAKEORA is a Riyadh-based data and AI advisory firm and a pure-play Databricks partner. We build the governed data platforms that Saudi enterprises run their decisions on, going deep on one platform rather than wide…
Senior developer builds and tests RESTful APIs and AI-powered web apps using React, Node.js, and Next.js, with expertise in agentic AI, ML models, and cloud platforms like Azure.
Requisition ID 80626 -Posted 07/22/2026 - Nexans France - Puteaux (Lightwell) - France Nexans a initié une orientation stratégique majeure vers l'innovation et le Digital pour accompagner sa croissance en valeur…
Nexans a initié une orientation stratégique majeure vers l'innovation et le Digital pour accompagner sa croissance en valeur plutôt qu'en volume. Au sein de la Direction de la Stratégie, Innovation et Digital…
Lead a team of bioinformaticians and data scientists to build and deploy genomic algorithms on AWS, ensuring clinical-grade quality and reproducibility for Natera’s women’s and organ health products.
Lead a team to build and deploy genomic algorithms on AWS, ensuring clinical-grade quality and reproducibility for Natera’s women’s and organ health products.
BURNT Member of Technical Staff AI/ML Engineer (MLOps-Focused) Location On-site, San Francisco · Experience 5–7 years · Compensation $150,000–$275,000 + equity About Burnt Burnt isn't building software on top of…
Designs and guides secure, scalable data pipelines and AI/ML workflows in Databricks and Palantir Foundry for mission-critical environments.
The Data Engineer will design and deploy scalable, AI-enabled data pipelines and machine learning models for Department of Defense mission-critical environments. The role involves working with Python, Spark, and containerized cloud technologies to transform structured and unstructured data into operational insights.
Чем ты будешь заниматься: Проектировать и разработать ETL-процессы (batch). Создавать backend-сервисы на Python для обработки данных и интеграции с внешними системами. Инжиниренно оптимизировать ML-проекты: рефакторить…
The AI Platform & Machine Learning Engineer will build and maintain scalable infrastructure for training, deploying, and monitoring machine learning models for wearable construction technology. The role focuses on the end-to-end ML lifecycle, utilizing tools like Python, PyTorch, and containerization to bridge the gap between research and production.
Mid Data Scientist crafting data-driven solutions, developing analytical and ML models using Python, SQL, ML tools (MLflow, W&B, Databricks ML), cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI), and data visualization tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau).
О компании Agrobank развивает AI-направление и внедряет скоринговые модели в ключевые кредитные процессы. Скоринг — критически важная система, которая влияет на решения по кредитованию и управлению рисками. О роли…
Develops AI-driven web analysis tools to enhance security features (e.g., autofill, phishing detection) using large datasets and ML models in a zero-knowledge architecture.
В Центре робототехники Сбера мы создаем роботов и системы ИИ, которым нужны большие и аккуратно подготовленные наборы данных. Data Conveyor Team отвечает за путь этих данных от сырых записей до формата, с которым могут…
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.
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.
Junior ML engineer builds and tunes AI models for tax document automation, using Python, PyTorch/TensorFlow, and Azure AI tools in Irvine, CA.
Senior ML Engineer builds, deploys, and maintains end-to-end machine learning solutions in cloud environments using Python, SQL, Azure ML, Databricks, and MLOps practices.
Lead AI and data science projects for a large insurer, building ML and generative AI solutions to drive business insights and strategic decisions while mentoring junior team members.
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