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Design and implement enterprise AI systems, including RAG pipelines, LLM standards, and MLOps practices, while mentoring engineers and leading AI adoption proofs of concept.
Designs and implements AI platforms, RAG pipelines, and LLM applications on Azure while setting MLOps standards and responsible AI practices for enterprise solutions.
Designs and implements enterprise-scale AI systems, including LLMs, RAG pipelines, and intelligent agents, while setting MLOps and observability standards for a logistics-focused product company.
Analyzes logistics workflows to find inefficiencies, automates tasks, builds data models, and tracks performance metrics to improve business processes.
Designs and builds AI/ML systems, including LLM pipelines and real-time data products, while mentoring junior data scientists and setting data governance standards.
Build and deploy ML models to analyze logistics data, monitor performance, and drive business decisions using structured/unstructured data pipelines.
Maintains and evolves IT systems, builds data pipelines, and supports reporting and data science projects using AI tools.
Builds and maintains data pipelines, integrates AI tools, and prepares data for analytics and reporting to support business teams and data science projects.
Data Scientist builds SQL queries, Python scripts, and dashboards to extract and analyze large datasets, leveraging AI tools to enhance customer intelligence and deliver actionable insights.
- Analyze AI performance and build tests quality controls and KPIs - Design workflows tool integrations and interfaces - Develop chat ticket and voice automations - Evaluate new AI technologies manage external partners…
Build and automate AI-driven customer analytics, SQL queries, and Power BI dashboards using Python and cloud data lakes to deliver CRM insights.
- Address AI security and governance risks - Build Agentic AI workflows - Design and deploy GCP backend services - Develop LLM prompt and validation layers - Develop internal business dashboards and automation -…
Validate and enhance digital map data by comparing sources, verifying accuracy, and evaluating relevance for Dutch-language content.
Builds KPI optimization models and data visualizations, applies ML to business problems, and translates requirements into analytics questions for stakeholders.
Leads an embedded software team at a mobility-focused company, designing real-time systems, mentoring engineers, and integrating CI/CD for automotive-grade software modules.
Designs and oversees enterprise-scale data pipelines and GenAI architectures, setting standards and guiding teams to align AI solutions with business needs.
Build, fine-tune, and benchmark ML models, including quantum-inspired and LLM solutions, while optimizing performance and prototyping new approaches.
Design and implement quantum-enhanced machine learning pipelines, adapting algorithms to hardware constraints and integrating them with quantum execution workflows.
Builds and optimizes scalable Big Data pipelines using Apache Spark, leads architecture decisions, and mentors engineers in a collaborative, agile environment.
Build and operationalize ML models (classification, forecasting, optimization) to drive business insights and automation, while ensuring data quality and compliance.
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