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Develop and optimize computer vision algorithms into production-ready code for embedded systems, focusing on performance and hardware constraints using C/C++/Python.
Build and deploy AI systems that turn satellite imagery into actionable insights using computer vision and agentic LLM workflows, with a focus on geospatial data pipelines and model evaluation.
Build and maintain AI/ML models for greenhouse automation, using deep learning and Python to optimize crop yields and reduce environmental impact.
Build and deploy advanced agentic AI systems for healthcare, translating LLM research into scalable, low-latency clinical applications that reduce administrative burdens.
The group you’ll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge…
Senior software engineer building AI-integrated, cloud-native cybersecurity tools for a defense contractor, focusing on containerized deployments and NLP-driven threat analysis.
Principal Data Scientist to lead Python-centric data engineering and GenAI projects, designing scalable pipelines and ML models for DTCC’s financial markets infrastructure.
Lead a team building scalable AWS pipelines that ingest, preprocess, and OCR millions of scanned documents, then route extracted data to databases and analytics platforms.
Principal Data Scientist at DTCC designs and deploys production-grade AI/GenAI and ML solutions in Python and Snowflake, leading data pipelines and model development for financial markets.
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s content ecosystem, including Firefly and Creative Cloud, using Python, TensorFlow/PyTorch, and distributed systems.
At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to help our customers develop technical expertise and capacity, while also collaborating with our customers and partners on key…
Build production-grade AI/ML systems that turn complex dairy-farm data into actionable insights using AWS, Databricks, and modern AI frameworks.
Lead Amgen’s AI Studio team to design, build, and scale enterprise AI products (GenAI, RAG, agents) and automation platforms, ensuring scientific credibility, operational reliability, and responsible governance across departments.
Designs and validates machine learning models for laboratory data analysis, focusing on chromatography, mass spectrometry, and scientific workflows.
Senior engineer builds and troubleshoots NVIDIA’s networking software (Mellanox, DPUs, RDMA) while partnering with enterprise customers to deploy and optimize solutions.
Build and deploy machine-learning models and statistical analyses in Python to extract insights from healthcare data, improving patient outcomes and business decisions.
Build and deploy production-grade AI systems, fine-tuning LLMs and orchestrating agentic workflows to solve domain-specific challenges in energy and infrastructure.
Build and deploy production-grade AI systems, including LLMs and agentic workflows, from data pipelines to model fine-tuning and deployment.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Build AI/ML models and data pipelines to accelerate drug discovery and early development, transforming biological data into insights that guide safer medicine decisions.
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