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Мы ищем ML-инженера , который будет разрабатывать и внедрять модели машинного обучения для задач прогнозирования. Вы присоединитесь к команде, которая строит системы, помогающие бизнесу принимать решения на основе…
Design and deploy scalable, real-time AI systems including LLM inference pipelines, RAG, and vector databases using Python, TensorFlow/PyTorch, and Kubernetes.
Build and maintain data pipelines and cross-platform ML models using TensorFlow and PyTorch to process public and customer data for AI training and backend integration.
Lead advanced analytics projects, mentor junior engineers, and build predictive models using Python, SQL, and SPSS for UK government clients.
Design and maintain CI/CD, IaC, and MLOps pipelines on AWS/Azure/GCP, focusing on Kubernetes, observability, and AI model deployments while enforcing DevSecOps practices.
Designs and maintains CI/CD pipelines, Kubernetes clusters, and cloud infrastructure for ML and general apps, automating deployments and monitoring systems.
Build and deploy AI solutions (LLMs, RAG, ML) to optimize Safran Aircraft Engines’ customer support and service operations, translating business needs into robust, explainable models.
Build and deploy ML models (recommendation, fraud) and explore LLM use-cases to improve cultural-offer discoverability for millions of young users.
Build and deploy AI solutions (LLMs, RAG, ML) to improve customer support and service operations, translating business needs into robust, explainable models and driving adoption across teams.
Build end-to-end data pipelines and cloud-native analytics platforms for finance and consulting clients, using AWS/Azure/GCP, Python, Spark, and MLOps tooling.
Designs and maintains scalable GCP data pipelines (BigQuery, Dataflow, Dataproc) for retail clients, automating data flows and optimizing analytics infrastructure.
Build end-to-end data pipelines and cloud-native ETL systems for clients, using serverless functions, DevOps, and MLOps to extract, transform, and serve data via data lakes, warehouses, and APIs.
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Design scalable data architectures and MLOps pipelines, industrialize ML models, and ensure data quality for enterprise AI projects in cloud environments.
Build and deploy data pipelines, models, and dashboards for insurance clients using Python, SQL, and cloud tools to turn raw data into actionable insights and AI use cases.
Full-stack developer building websites, Facebook games, custom apps, and Messenger bots using PHP/Symfony, WordPress, and JavaScript frameworks like React/Vue.js.
Build and maintain full-stack web apps, Facebook gaming sites, Messenger bots, and prototypes using PHP/Symfony, React/Vue, and emerging web tech like PWA and AR.
Builds and deploys AI/ML models in Python, leveraging TensorFlow or PyTorch and cloud/container tech to power backend services and APIs.
Develop and maintain Python-based software solutions, using frameworks like Django or Flask, while collaborating with cross-functional teams.
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