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At Klue , We’re Building the Future of Competitive Intelligence 👋 Klue Engineering is hiring! We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing…
Build and maintain data pipelines, deploy AI solutions (LLMs, RAG, assistants) on cloud, and industrialize Data & AI systems using Python, Spark, and Azure.
Type: Full-Time(W2) On-site/Hybrid, Arlington, VA DeepSig is defining the future of wireless communications by merging deep learning with the Radio Access Network (RAN). We are seeking an experienced DevOps Engineer to…
Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We’re continuously seeking talented individuals who bring a problem-solving mindset, fresh perspectives, and sharp…
Czym będziesz się zajmować? Andersen is hiring an MLOps Engineer for a project delivering scalable digital solutions and supporting reliable AI and technology platforms across diverse organizations. Responsibilities:…
As AI/ML Ops Engineer, you own the operational backbone of Blackpoint's AI/ML capability, taking models from training to production deployment, building deployment pipelines, and ensuring production-grade systems. Core technologies include AWS, SageMaker, Bedrock, Kafka, Spark, MLFlow, Terraform, Docker, Kubernetes, Python, and Bash.
Data Science ML/GenAI Engineer to develop AI/ML solutions, focusing on NLP/LLM technologies and working with Databricks to build data pipelines and production-ready solutions for damage prevention, asset integrity, and land management in the energy/infrastructure sectors.
Senior Databricks Data Engineer building and optimizing streaming and batch pipelines using PySpark, SQL, and Delta Lake on the Lakehouse platform while enforcing data governance.
Brampton East, Canada | Posted on 08/13/2026 We are looking for a Senior, Super Hands-On DatabricksData Engineer who lives and breathes code, query optimization, and moderndata architecture. In this role, you won't…
Зарплата: 200000–280000 RUR (на руки) Мы аккредитованный системный интегратор, работаем с крупнейшими заказчиками по формату IT-аутстаффинга. Сейчас мы ищем опытных инженеров, которые смогли бы усилить проекты наших…
О роли Ищем дата-сайентиста, который хочет не просто строить модели, а видеть их реальный эффект на бизнес. Вы будете разрабатывать модели для малайзийского направления, а основным заказчиком станет портфельный…
Data Engineer role at a financial services company developing databases, data collection systems, and ETL processes using Python, while ensuring data quality and collaborating with stakeholders.
Designs and builds scalable data pipelines (ETL) in Python/SQL to extract business insights, ensuring data quality and collaboration with stakeholders. Core tools: Databricks, Spark, and MLflow in a fintech environment.
Позиция открыта у нашего клиента - аналитической платформы для трейдеров. 📍 Локация: Кипр. Вакансия открыта для тех, кто готов самостоятельно переехать и работать в гибридном графике из офиса после релокации. Мы ищем…
Design, develop, and maintain data solutions using Databricks (Delta Lake, Auto Loader, DLT) and Python/PySpark, creating ETL pipelines, ensuring data quality, and implementing cloud infrastructure (AWS/GCP/Azure).
Company overview: Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and analytics solutions for companies that take their data seriously. We are not a…
Designs and maintains cloud-based data platforms and analytics infrastructure using AWS, Databricks, and Informatica, collaborating with stakeholders to build scalable, secure data pipelines and solutions.
Senior Machine Learning Engineer builds and scales ML models for an e-commerce platform, using Python, TensorFlow, and cloud tools to improve customer experiences and business outcomes.
Senior Machine Learning Engineer builds and scales ML models for an e-commerce platform, working with Python, TensorFlow, and cloud tools to improve customer-facing features.
Требования: От 2 лет коммерческого опыта запуска дата-продуктов в продуктивной среде. Высшее образование и соответствующий опыт в области статистики, математики, информатики или смежных областях. Уверенное знание SQL,…
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