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Builds and deploys advanced AI systems focusing on agentic workflows and RAG pipelines, ensuring safety, reliability, and performance through evaluation frameworks and guardrails.
Builds and deploys AI/ML models for a client’s product, focusing on data pipelines, model optimization, and production integration using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy large language/vision models and AI agents to power eCommerce features like search, recommendations, and customer support at scale.
Design and build advanced AI/ML solutions for Cisco’s supply chain, focusing on predictive analytics, LLMs, and agentic workflows to optimize product lifecycle and operational efficiency.
Lead Software Engineer designing and building AI-driven observability and agentic systems for Disney's streaming platforms (Disney+, Hulu, ESPN) using Python, foundation models, and distributed systems at scale.
Data Scientist building time series models and predictive algorithms for quantum sensor systems, using Python, NumPy, Pandas, scikit-learn, and TensorFlow/PyTorch in an office/lab setting.
Lead Data Scientist designing and deploying ML, NLP, and GenAI models (including RAG systems) using Python, cloud platforms (Azure preferred), and frameworks like TensorFlow, PyTorch, and LangChain for an executive search firm's Digital-IT team.
Senior Data Scientist at a chemical materials company applying statistical modeling, machine learning, and AI across production, R&D, SCM, and other business domains using Python/R, SQL, and ML frameworks like sklearn and TensorFlow.
This intern role involves developing and performing tests to validate the robustness and performance of NVIDIA's deep learning software stack and GPU infrastructure. The intern will work with AI-powered tools to automate testing, triage issues, and improve workflows for various AI product teams.
The Software Machine Learning Engineer will develop, optimize, and deploy real-time computer vision models for Cisco's video conferencing devices. The role involves collaborating with cross-functional teams to integrate ML solutions into the product stack using C++ or Python.
12-month contract role building AI platforms and agentic AI applications for a pharmaceutical company, using Python, FastAPI, cloud platforms (GCP/Azure), Kubernetes, and ML frameworks like PyTorch/TensorFlow.
AI/ML Engineer building and deploying data-driven AI/ML products in secure, mission-critical environments for the U.S. National Security community using TensorFlow, PyTorch, Python, and related ML frameworks.
Builds full-stack software for national security missions, blending algorithm development, legacy system support, and web apps using Python, Go, React, and Kubernetes. Focuses on mission-critical systems with AI/ML integration.
Designs, builds, and deploys enterprise-grade ML models and data science solutions to solve complex business problems using Python, SQL, and cloud platforms.
Builds and deploys cloud-native data pipelines and AI/ML tools for DoD/IC customers, using Python, Databricks, ETL, and PostgreSQL to deliver strategic insights to senior leadership.
Black Cape Title: Data Engineer (Knowledge Graph Specialist) Location: Bethesda, MD Onsite: Expected to go onsite (into a SCIF) 3 - 5 days per week Clearance: TS/SCI - willing to get a CI poly ***MUST have an Active…
Forward Deployed Mission Analyst working onsite in a SCIF 3-5 days/week, collaborating with software teams to advance object-based intelligence tools for Intelligence Community and DoD customers. Core work involves intelligence analysis, briefing stakeholders, and bridging analysts with technical teams building cloud-native and ML applications.
Full Stack Software Engineer building cloud-native web applications, data analysis tools, and AI/ML integrations for DoD and Intelligence Community customers, using OOP languages, MVC frameworks, relational databases, and Linux.
Program Manager leading AI enablement for chip development at Analog Devices in Singapore, integrating AI tools and processes into the full chip R&D workflow to improve efficiency and adoption among engineers.
Build and maintain open-source AI/ML platforms at Databricks to enable users to train, deploy, and monitor models and GenAI agents at scale, primarily using Python, with collaboration across the AI/ML community.
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