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Middle Data Scientist (направление ML — прогнозные модели)
Build and deploy ML forecasting models (demand, sales, prices, production, inventory) in Python/SQL, then hand them to internal customers and track real-world impact.
Team Lead Data Scientist (направление LLM)
Leads a small team of data scientists building LLM-powered tools for commercial operations: corporate assistants, RAG search over internal docs, and document automation.
Machine Learning Engineer, Infra (MLOps) - CN
Build and scale MLOps infrastructure for an AI-driven ad platform, designing Prefect-based pipelines for training and deploying recommendation models that power real-time bidding at massive scale.
Lead Product Software Architect, AI and Data
Lead Product Software Architect — AI & Data Location: NLD - Hoevelaken Remote Type: Hybrid (8 days/month) Time Type: Full time Job Description R0055258 Lead Product Software Architect — AI & Data Wolters Kluwer…
Senior Data Scientist/AI Engineer
Senior Data Scientist/Engineer builds and deploys AI/ML models for cybersecurity platforms, focusing on LLM integration, evaluation frameworks, and production systems.
Data Scientist
Build AI/ML models and data pipelines to automate reporting and decision-making for nonprofit software, using Python, Snowflake, AWS SageMaker, and Salesforce Data 360.
AI/ML Architect
AI/ML Architect - Talent Pipeline Team: Planned Hiring Location: Onshore Commitment: Bench hiring Workplace Type: remote BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year.…
MLOps Engineer
MLOps Engineer builds and deploys AI agents and RAG systems for banks, focusing on CI/CD, Kubernetes, and LLM inference optimization.
Forward Deployed Engineering Manager, Generative AI, Google Cloud
Lead a team of AI/ML engineers to deploy bespoke generative AI solutions directly in customer environments, balancing technical mentorship with strategic alignment for Google Cloud.
Technical Program Manager II, Kids and Families Core
Lead end-to-end ML model lifecycle for Google’s Kids and Families services, coordinating engineers, researchers, and legal teams to deploy safe, scalable AI systems.
Solutions Architect
Design and lead AI-native architectures for global DataHub integrations, setting standards for security, scalability, and performance while bridging Brazil and global teams.
Data Engineer - Databricks
Build and maintain Databricks-based data pipelines and ML pipelines to power BI dashboards and analytics for clients.
Director, Data Engineering
Director, Data Engineering Team: Engineering Location: United States, Ontario Commitment: Full-Time Exempt Workplace Type: remote 💈 WHO WE ARE SQUIRE is the leading business management system designed for the needs of…
Field Chief Information Security Officer
Field Chief Information Security Officer (Field CISO) Location: United States Position The Field CISO is a customer-facing security executive within the Field Engineering Specialists organization responsible for…
Team Leader (Machine Learning)
Leads a machine learning team building scoring models (e.g., click and conversion prediction) for Sponsored Offers using deep learning and GCP tools, while managing engineers and aligning tech with business KPIs.
Senior Data Scientist
Senior Data Scientist designs, trains, and deploys neural network and deep learning models on Google Cloud Platform, mentors junior team members, and owns the full ML lifecycle from problem analysis to production monitoring.
[Job-30800] Senior Data Engineer, Brazil
Designs and builds scalable cloud-based data pipelines and warehouses for global clients using Python, SQL, Databricks, and PySpark.
Data Engineer
Design and maintain cloud-based data pipelines and analytics platforms to enable AI/ML solutions and data-driven decisions for a global dairy company.
Manager Data Engineer - Casablanca
Lead a team of data engineers to design and deliver cloud-native data platforms and AI solutions for global clients, using Python, Spark, Airflow, and major cloud platforms.
Manager Data Engineer - Casablanca
Leads a team of data engineers to design and deliver cloud-native data platforms for international clients, using Python, Spark, Airflow, and major cloud ecosystems.