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Builds static analysis frameworks and reverse-engineering tools to detect malware and abusive apps on Android at Google scale.
Build ML/NLP/LLM models and statistical analyses to detect fraud, validate transactions, and improve seller compliance for Amazon’s global ecommerce platform.
Junior Data Analyst cleanses and analyzes messy datasets using SQL and Python to build dashboards and reports that help clients in mining, rail, and utilities make better operational decisions.
Build TikTok’s search engine using NLP, CV, and multimodal deep learning to power personalized video search and recommendations at scale.
Build and deploy production-grade LLM systems, fine-tuning models and orchestrating agentic workflows to solve real-world challenges in energy and infrastructure.
Lead the architecture and delivery of enterprise AI platforms, guiding cross-functional teams to deploy cloud-native solutions on AWS/Azure/GCP and mentor AI engineers.
SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) is a Joint Venture between NXP and TSMC. We offer flexible and cost-effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom…
Lead a team to build and deploy predictive/prescriptive models using Python, Spark, and ML/AI, driving data-driven decisions and scalable analytics solutions.
Build production-grade AI architecture blueprints and open-source Quickstarts with Python, PyTorch, and Kubernetes, focusing on enterprise deployment, security, and regulated environments.
Senior Data Scientist builds predictive and prescriptive models using Python, SQL, and Spark to extract insights and automate large-scale analytics for business decisions at HPE.
Build and maintain Google’s Payments data infrastructure, designing pipelines and tooling to ensure reliable, scalable data for decision-making and product development in consumer and business payments.
Build, test, and deploy AI/ML models and GenAI workflows in Python, integrating them into business systems using cloud platforms like Snowflake and CI/CD pipelines.
Центр практического ИИ — подразделение Сбера, которое занимается сложными AI-проектами на стыке прикладных исследований, инженерии и бизнес-внедрения. Мы работаем с задачами, в которых недостаточно применить готовую…
Lead a team to design, build, and deploy AI/ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps practices, while mentoring engineers and owning full model lifecycles.
Own the full AI lifecycle: research and fine-tune models, build production pipelines, and deploy scalable APIs that power credit scoring, fraud detection, and personalization.
Build and deploy AI/ML models (NLP, deep learning) using Python and frameworks like TensorFlow/PyTorch, migrating SQL Server reports to a Snowflake data lake.
Build ML models and NLP pipelines to analyze real-estate data, predict borrower risk, and guide lending decisions using Python libraries like PyTorch and TensorFlow.
Build and lead Mercor’s code-search systems: hybrid retrieval (dense embeddings + BM25) that routes coding tasks to the right models and turns natural-language questions into precise code retrieval at scale.
Build and deploy GenAI and agentic AI systems for pharma clients using Microsoft Copilot Studio, ChatGPT Enterprise, and AWS Bedrock, integrating structured and unstructured data pipelines.
Develops and deploys advanced AI/NLP models (LLMs, RAG, agentic architectures) to detect financial crimes like money laundering or insider trading, while mentoring junior data scientists and collaborating with compliance teams.
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