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Build and deploy production-grade ML and LLM systems across multi-cloud, designing end-to-end pipelines and MLOps workflows with PyTorch/TensorFlow and cloud-native tooling.
Design and build scalable data pipelines, ML models, and analytics tools to accelerate drug research and development, using Python/R, Spark, and cloud platforms.
Build predictive models and analyze structured/unstructured data to solve challenges in national security, healthcare, or fraud detection using Python, R, SQL, and ML techniques.
Build and scale production-grade RAG pipelines, retrieval systems, and LLM orchestration for enterprise search and knowledge discovery in financial data.
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Build and optimize AI/ML models for extracting structured data from unstructured documents using NLP, computer vision, and LLMs, and deploy scalable ML pipelines for high-volume processing.
Own and drive AI-powered agentic solutions (assistants, automation) for Thales’ global Bids & Projects workflows, scoping POCs, aligning with enterprise architecture, and measuring business impact.
ABOUT SINCH Sinch is pioneering the way the world communicates. More than 150,000 businesses — including Google, Uber, Paypal, Visa, Tinder, and many others — rely on Sinch’s Customer Communications Cloud to power…
Data Scientist Intern — Concord Advice Summary Concord Advice is a dynamic fintech company headquartered in the New Jersey area, specializing in delivering cutting-edge analytical and technical solutions for financial…
Dive deeper. Aim higher. At Abysalto, that’s not just a motto — it’s how we work. We build serious tech for a variety of clients, but we keep things simple, fast, and focused. We’re a team driven by determination,…
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Build and lead large-scale software systems for AI and infrastructure, focusing on embedded systems, microcontrollers, and hardware management at Google’s hyperscale.
Build and optimize text rendering and graphics features for Chrome, Android, and other Google platforms using C++ and Skia.
Build and optimize speech AI models for text-to-speech and speech-to-text to power AI-driven game characters and virtual worlds.
Leads AI/ML system design, development, and deployment for Bayer CropScience in Warsaw, building scalable data pipelines and cloud-based ML solutions with NLP and computer vision.
Build ML models and pipelines to improve developer tools, focusing on code completion, AI agents, and test generation using Python, Java, or Kotlin.
Build and deploy AI agents for enterprise clients using TypeScript, integrating LLMs and AI frameworks into scalable platforms while ensuring security and compliance.
Build and deploy LLM-driven machine learning systems for enterprise clients, focusing on NLP, multi-step reasoning, and scalable AI solutions.
Build and deploy ML models using Python, TensorFlow/PyTorch, and cloud tools; engineer features, optimize pipelines, and productionize AI systems with MLOps.
Builds predictive models and analyzes healthcare claims data to improve drug cost management and client decision-making using Python/SQL.
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