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Lead semiconductor process integration for DRAM/NAND uniformity, using physics-based modeling and data-driven diagnostics to optimize yield and reliability across fabrication loops.
Build and deploy AI agents for enterprise clients using TypeScript, integrating LLMs and AI frameworks into scalable platforms while ensuring security and compliance.
Designs and deploys AI-powered robotic solutions for manufacturing customers, traveling to sites to install, integrate, and train on computer vision and language models.
Build and deploy AI models: clean datasets, train neural networks, convert models to APIs, and integrate them into apps and cloud systems.
Develop and optimize AI models (e.g., CNN, Transformer, ViT) for computer vision and surveillance, using Python/C++ and frameworks like PyTorch/TensorFlow.
Build AI-powered full stack apps for food & beverage supply chains, integrating ML models into production systems and user interfaces using Python, React, and cloud-native tools.
Build and deploy ML systems for crypto-exchange compliance, including AML monitoring and KYC risk scoring, using on-chain and fiat data with LLM-assisted tooling.
Analyze financial datasets to detect suspicious activities and compliance risks using SQL, Python/R, and machine learning for a financial institution’s AML and fraud monitoring.
Builds and maintains backend systems in Python and AWS to process anonymized healthcare data, deploy ML models, and power privacy-first advertising platforms.
Senior Data Scientist builds and monitors ML models and BI dashboards for a global pharma client, using Python, SQL, and tools like Spotfire and Azure.
Build and ship end-to-end AI features that turn model capabilities into reliable, real-world user workflows using Python, PyTorch/JAX, and vector DBs.
Build and optimize tiny, ultra-efficient AI models for on-device computer vision and multimodal LLMs, shipping features like People Detection and Video Search to millions of cameras.
Research and develop state-of-the-art AI models for embedded devices, focusing on computer vision and multimodal LLMs to enable features like people detection and video search.
Build and deploy AI/ML models, especially LLMs, to automate business processes and power data-driven decisions using Python and cloud services.
Build and integrate computer-vision models into client stacks using PyTorch, OpenCV, and Gradio; prototype cutting-edge algorithms and ship them in Datature’s MLOps platform.
Build and optimize data pipelines, ETL/ELT processes, and cloud-based analytics systems using Snowflake, GCP, and Apache Ni-Fi to support AI-driven workloads for smart manufacturing.
Lead frontend integration for semiconductor manufacturing, analyzing yield issues and driving process improvements across modules using data-driven methods.
Lead AI Engineer builds and deploys ML models for fintech using Python, SQL, and PySpark, focusing on forecasting, clustering, regression, and neural networks.
Design and implement AI solutions for enterprise clients, integrating GenAI, NLP, and multimodal systems while optimizing algorithms and reducing latency.
Build and scale AI-powered backend services for Pearson’s English learning platform using Python, Go, TensorFlow/PyTorch, and cloud tools.
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