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Overview Systems Engineer Warrenton / Tysons, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable…
Leads data engineering and analytics initiatives to optimize customer experience and business results by designing scalable data pipelines, improving data infrastructure, and enabling data-driven decision-making for cross-functional teams.
Builds and iterates end-to-end ML systems for ShopBack’s personalized shopping recommendations, ranking, and user modeling, blending classic ML with LLM techniques while driving business metrics through A/B testing and experimentation.
Build and deploy AI/ML models and RAG pipelines to turn Navy maintenance and logistics data into predictive tools that improve fleet readiness in a DoD GovCloud environment.
Applies machine learning and advanced analytics to solve supply chain problems including demand forecasting, route optimization, and inventory management, using Python, SQL, and big data tools.
Leads a senior team securing Thomson Reuters’ global products (used by millions) by owning the Secure SDLC, AI security, and developer-friendly security tooling. Focuses on threat modeling, secure design, vulnerability remediation, and AI-specific protections (e.g., LLM red teaming). Partners with engineering, security, and business leaders to embed security into product development.
Designs and secures AI-powered products and platforms for enterprise use, focusing on threat modeling, Secure AI architecture, and secure design patterns for Thomson Reuters' global customer base.
AI/ML Engineer designing and implementing intelligent automation solutions using Computer Vision, OCR, Deep Learning, and Vision-Language Models on AWS platforms, building proof-of-concepts and scalable AI solutions for automation use cases.
Build and maintain data pipelines and platforms to organize disparate data for mission-driven projects like fraud detection and healthcare research using Python, SQL, and Databricks.
Build and deploy ML models from scratch (e.g., Random Forests, Neural Networks) to detect spam and threats, using Python and cloud infrastructure without managed services.
Build and deploy scalable ML pipelines on AWS and Databricks, leading a team to integrate generative AI models and APIs for healthcare analytics.
Machine Learning Engineer building and maintaining ML-powered features for a healthcare platform, working across the AI stack including RAG, fine-tuning, and agentic workflows in a cloud environment.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
The Company: Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers…
Design and build scalable AI/ML systems at Nike, leveraging prediction models and generative AI to drive data-driven business decisions and optimize corporate functions.
Lead AI/ML Engineer at Nike owning end-to-end ML and generative AI solutions for corporate functions, from design through production, using Python, AWS (SageMaker, Lambda), and MLOps practices.
The Staff Data Scientist will lead the development of next-generation AI systems and autonomous agents to improve Walmart's global operations. The role involves architecting end-to-end ML pipelines, mentoring senior talent, and deploying production-grade AI solutions using technologies like PyTorch, LangChain, and cloud-based ML platforms.
The AI DevOps Engineer will design, automate, and optimize cloud-native infrastructure on AWS while integrating AI-powered tools to enhance CI/CD pipelines, observability, and operational efficiency. The role involves collaborating with engineering and AI teams to support scalable, intelligent cloud platforms and MLOps workflows.
Build and maintain Power BI dashboards and reports to track recycling operations, finance, and logistics for a province-wide container recovery network.
Leads development of a government-focused Investment Data Warehouse (IDW) platform integrating AI/ML, GenBI, and agentic workflows on AWS/Snowflake, designing dashboards, optimizing pipelines, and guiding cross-functional teams.
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