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Develops automation and GUI software for over-the-air (OTA) test solutions, integrating RF hardware and instruments to validate wireless systems in lab and chamber environments.
Develops automation and user software for over-the-air wireless test solutions, integrating Python/C#/C++ with RF instruments and chamber control systems.
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 scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Builds cloud-native Python apps for quant research and trading, including data pipelines and backtesting tools using NumPy, Pandas, and AWS in a production environment.
Build and deploy ML models, predictive analytics, and AI-powered apps to drive data-driven decisions across DKSH’s markets using Python, SQL, and frameworks like Scikit-learn and XGBoost.
Build and deploy computer-vision models and analytics pipelines in Python/SQL, using cloud/big-data tools to extract insights from image data for R&D projects.
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Build and deploy scalable AI/ML models and LLM-based systems on Hilti’s AI platform, using Python, Azure, and MLOps/LLMOps practices to power global construction workflows.
Build and maintain Palantir-based internal tools and databases for a fast-growing pickleball brand, using TypeScript, Python, and SQL.
Builds Python tools for market risk analysis, including ETL pipelines and data visualizations with Pandas, NumPy, Matplotlib, and Plotly.
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Build and productionise ML models for an e-commerce platform, using Python, TensorFlow/PyTorch, and cloud pipelines to improve product recommendations and business decisions.
Senior Data Scientist to design and implement algorithms for curating and validating AI training datasets using PySpark, Python, and statistical modeling at scale.
Senior data scientist builds and deploys ML models, graph analytics, and Gen AI solutions to detect fraud and extract insights from interconnected datasets using Python and cloud platforms.
Builds and maintains SQL Server reports and databases, writes T-SQL queries, and supports BI solutions for business users.
Build and maintain Python/Django web apps handling sensitive financial data, from feature design to production deployment and QA.
Build and scale Python applications that integrate ML models, using PySpark and Kubernetes; collaborate with data scientists to deploy end-to-end ML pipelines.
Build and maintain Python/Django applications handling sensitive financial data, focusing on security, performance, and scalability in a fast-growing fintech startup.
Build and deploy ML models end-to-end: prototype, train, and productionize AI solutions on Azure/AWS/GCP using Python, PyTorch, and Databricks.
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