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Build, deploy, and operate AI/ML solutions across a multi-cloud government environment (AWS, Azure, GCP, OCI), including ML pipelines, model serving, data engineering workflows, and production monitoring for a national security contractor.
The Machine Learning / Federated-Learning Engineer will design and implement distributed model training and adaptation workflows for federal government projects. The role involves building ML pipelines, fine-tuning models, and integrating AI solutions within secure, controlled environments using Python and frameworks like PyTorch or TensorFlow.
Designs and deploys AI/ML solutions on Azure, integrating with business systems like Dynamics 365 and Power BI; focuses on architecture, MLOps, and cross-team collaboration to enhance client advisory services.
Builds and deploys AI-driven payment systems (LLM-powered workflows, fraud detection, personalized checkout) at scale for Airbnb’s global transactions, optimizing payouts/collections while ensuring low latency and security.
Build and scale large-scale ML infrastructure for Reddit’s recommendation systems, designing models, training pipelines, and low-latency serving to improve personalization across the platform.
The AI Embedded Engineer IV integrates AI models onto autonomous vehicle hardware, managing the deployment, optimization, and real-time performance of robotics software. This role balances software development in C++ and Python with hands-on hardware tasks like sensor integration, wiring, and field testing.
This role involves driving applied research and product-oriented data science for an Agentic AI platform, focusing on LLM fine-tuning, evaluation, and knowledge graph development. The position requires deep technical expertise in machine learning and production-scale AI deployments to deliver robust agentic solutions.
The Mobile App Developer will build and maintain iOS applications using Swift and SwiftUI, focusing on integrating AI-powered features and optimizing app performance. The role involves collaborating with backend and ML engineers to design AI-driven UX patterns and ensure production reliability.
The Assistant Manager (Data Science) will develop predictive models, AI/ML solutions, and automation tools to improve patient care and hospital operations. The role involves managing complex healthcare datasets and leading digital strategic initiatives using Python, R, SQL, and various AI frameworks.
Lead a team building scalable, high-performance admin interfaces and services for Adobe’s enterprise platforms using React, Node.js, and cloud infrastructure, while driving engineering standards and mentoring engineers.
The Sr Fleet Analyst will develop analytics and KPIs to drive continuous improvement and strategic direction of the fleet, creating dashboards and reports. They'll use tools like SQL, Python, Tableau, and AI technologies to monitor fleet performance and provide insights to leadership.
Build and deploy agentic and generative AI solutions using Python, LLMs, and ML models to solve real business problems in a cross-functional team.
Design and deploy LLM-powered validation pipelines and AI integration solutions within NVIDIA's Silicon Co-Design Group, using Python, static languages (C/C++/Java), and AI/ML frameworks to modernize semiconductor design and automation infrastructure.
The Applied AI/ML Vice President will design, develop, and productionize AI/ML solutions for Asset & Wealth Management, utilizing Python, NLP, and machine learning frameworks. The role involves collaborating with stakeholders to solve complex business problems and coaching team members.
The Staff Product Software Engineer (ML) will lead the development of prediction and optimization engines for Disney's advertising platforms. The role involves designing scalable AI/ML solutions, mentoring team members, and collaborating across teams to enhance ad serving capabilities using Java, Python, and Scala.
Senior Machine Learning Engineer on the Applied Science Data Frameworks team building foundational infrastructure for large-scale multimodal AI training and inference, working with distributed systems, data engineering fundamentals, and ML infrastructure using technologies like PyTorch, Apache Ray, Spark, and Docker.
Software engineer building Python-based AI/LLM applications, RESTful APIs, and microservices with Docker/Kubernetes CI/CD pipelines at Cisco's Customer Experience engineering organization.
Senior AI Engineer at PwC Greece's Process Excellence & Intelligence team in Athens, building and deploying agentic AI systems, RAG pipelines, and ML models to optimize client operations using Python, PyTorch/TensorFlow, and Azure/AWS/GCP.
Senior Data Scientist building and deploying predictive ML models for collections and customer engagement analytics. Day-to-day work involves feature engineering, model training/validation, and production ML pipelines using Python, SQL, and frameworks like XGBoost, LightGBM, and TensorFlow.
Senior Data Engineer at a defense/intelligence contractor, designing and implementing analytics (ML, geospatial, network science) for U.S. National Security customers using Python, R, SQL, TensorFlow, and Pandas—requiring significant prior intelligence analysis experience.
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