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Junior business analyst bridges business needs and IT for a premium fashion e-commerce site and app, gathering requirements, documenting processes, and analyzing user data to improve features and conversion.
Builds and maintains data pipelines, deploys ML models, and improves forecasting for a renewable-energy company.
Build and maintain scalable data pipelines and GenAI applications for AI-driven analytics projects, collaborating with data scientists and engineers to deliver ML solutions for clients.
Intern to map, analyse, and catalogue production data from renewable energy projects and identify AI use cases for construction management.
Build GenAI/LLM prototypes and FastAPI inference services to analyze manufacturing data (images and structured datasets) for Seagate’s slider PPE team in Korat.
Design and deploy enterprise-scale AI systems for banking, integrating LLMs and ML platforms while ensuring regulatory compliance and high availability.
Design and deploy enterprise AI systems for banking, integrating LLMs and ML platforms with core financial systems while ensuring regulatory compliance and scalability.
Design and implement AI solutions for banking, including RAG apps, AI agents, and analytics using Python, LangChain, and LLMs.
Build ML forecasting models and LLM pipelines to analyze tax-compliance support data, then translate insights into clear narratives for leadership.
Build and deploy AI/ML and generative-AI models to improve healthcare outcomes, using frameworks like PyTorch and cloud platforms such as AWS/Azure.
Build and deploy AI/ML models and data pipelines to power logistics solutions, working with Python, cloud platforms, and MLOps tools.
Builds and maintains scalable data pipelines and infrastructure using Python, SQL, and cloud services to support analytics and machine learning workflows.
Design and maintain scalable data marts and ELT pipelines using DBT, Fivetran, and SQL to power analytics for e-commerce and logistics platforms.
Build and maintain scalable data pipelines for machine learning systems, ensuring data quality and security while collaborating with cross-functional teams to deliver AI solutions for clients.
Builds Python tools for market risk analysis, including ETL pipelines and data visualizations with Pandas, NumPy, Matplotlib, and Plotly.
Develop and maintain Python-based software for quantum hardware control and data analysis, collaborating with engineers to automate quantum processor characterization and validation.
Builds and deploys ML models to turn subsurface data into actionable insights using Python, cloud platforms, and frameworks like TensorFlow/PyTorch.
Build and maintain ETL pipelines that clean and structure large volumes of imagery and video data for machine-learning training in defence and national security applications.
Design and deploy AI models in Python/TensorFlow/PyTorch to solve business problems, then integrate them into production systems and monitor performance.
Builds and maintains Python-based data pipelines and time-series databases to process automotive manufacturing data and support MLOps workflows for Bosch’s mobility products.
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