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ML/AI инженер разрабатывает и масштабирует модели для автоматизации бизнес-процессов в государственной цифровой платформе, используя Python, PyTorch, NLP/LLM и MLOps-инструменты.
Lead Data Scientist builds and operates ML systems that recommend Wise products to customers at the right moment, owning end-to-end pipelines, models, and A/B tests to drive CRM growth.
Build and maintain Beequip’s modern data warehouse and semantic layer using Snowflake, dbt, Airflow and Sigma, enabling self-service analytics and AI agents for the business.
Build and own Vi’s LLM-driven analytics product, Pulse, enabling health enterprises to query data in natural language and receive answers, visualizations, and actionable insights in a HIPAA-regulated environment.
Build and optimize multilingual AI translation models and MLOps pipelines using AWS SageMaker and containerized workflows to support government mission applications.
Product Manager – HVAC and Gas Detection Ottawa Region Greystone Energy Systems is seeking an experienced and strategic Product Manager – HVAC & Gas Detection to join our growing team in the Ottawa Region. This is…
Build and maintain ETL pipelines, data models, and dashboards using SQL, dbt, Airflow, and BI tools to deliver self-service analytics and drive business decisions.
Build and maintain GitLab CI/CD pipelines, Ansible playbooks, and automation scripts (Python/Bash) for server config, DB ops, and deployments; improve IaC with Docker and Kubernetes.
Builds uplift and RFM models in Python to optimize marketing campaigns and A/B tests for an e-commerce company.
Leads hardware integration for AI/data center racks, designing and validating next-gen rack solutions, resolving cross-functional technical challenges, and ensuring deployment readiness for AMD’s AI infrastructure.
Job Role: Data Engineer Location: Dallas, TX Duration: Long Term project Full Time Position Job Description: Data Engineer skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data…
Build and tune credit-scoring models (logistic regression, gradient boosting) to predict customer defaults, run A/B tests on risk rules, and translate data insights into business decisions for a FinTech lender.
Senior BI Analyst builds and maintains Tableau dashboards and Python-based reporting pipelines, designs data models, and collaborates with teams to automate and improve business metrics.
Lead data engineering projects on GCP, designing pipelines with BigQuery, Dataflow, and Airflow for financial and energy clients.
Senior engineer building and maintaining the SaaS provisioning and automation systems that deploy, manage, and scale TOPdesk’s global customer environments using Kubernetes, Python, Go, and AI-native tooling.
Build and maintain scalable GCP data pipelines and analytics platforms for a digital banking project using BigQuery, Dataflow, and PostgreSQL.
Build and modernize cloud-native data pipelines and APIs on GCP for a Nordic bank, migrating legacy systems to a scalable, reliable data ecosystem.
Build and maintain AI/ML integrations for ClickHouse, including Python connectors, vector stores for RAG, and feature stores, enabling developers to use ClickHouse in AI workflows.
QA Engineer at Kestra, a universal orchestration platform, testing data pipelines and workflow automation tools to ensure reliability for enterprise and open-source users.
ETL engineer automates data pipelines for Moscow’s unified digital justice platform, extracting/transforming data from SQL/NoSQL, Kafka, and cloud sources (S3) while designing PostgreSQL data marts, enforcing OpenLineage lineage tracking, and integrating with OpenMetadata/Superset for governance and BI.
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