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Build and deploy production-grade AI agents and LLMs for payments, optimizing merchant experiences and internal workflows at a global fintech scale.
Build and automate ML infrastructure for a fintech AI startup, deploying scalable pipelines with Kubernetes, Docker, and cloud services to deliver real-time financial insights.
Lead the design and implementation of computer-vision and autonomous-navigation algorithms, from architecture through testing and deployment, while mentoring junior engineers.
Build and deploy AI/ML solutions using Python and AWS Bedrock for global clients, focusing on AgentCore frameworks.
Build production-grade AI/ML systems that turn complex dairy-farm data into actionable insights using AWS, Databricks, and modern AI frameworks.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Build and scale foundational ML systems for global money movement, fraud detection, and customer-facing features using Python, PyTorch, and cloud platforms.
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Build and scale a physical-AI data business by designing egocentric video capture rigs, perception pipelines, and automated labeling systems to generate high-quality training datasets for robotics and AI models.
Build and own production ML systems for identity resolution, audience intelligence, and personalization using Databricks, Snowflake, and AWS to power WBD’s streaming and ad-tech platforms.
Turn decades of data into intelligence that helps feed the world. VAS is the Operating System of the modern dairy with decades of longitudinal data for the most productive cows in the world. We hold a dominant US…
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Senior ML Ops Engineer builds and scales production systems for AI-powered grocery recommendations and box personalization using Python, FastAPI, Spark on Databricks, and MLflow on AWS.
Builds and deploys LLM-powered agents/pipelines for field technicians, collaborating with platform architects to enhance multi-agent orchestration in production environments using Python, LangChain, and related tools.
Jede Minute, jeden Tag trägt die Technologie von Smiths Detection zur Bedrohungserkennung und Sicherheitsüberprüfung dazu bei, Menschen und Infrastrukturen zu schützen und die Welt zu einem sichereren Ort zu machen.…
Build and improve AI systems that power clinical products, including LLMs and agentic workflows, with end-to-end ownership of evaluation, deployment, and production debugging.
Build parametric CAD pipelines that turn 3D foot scans and clinical rules into custom orthopedic devices, bridging AI predictions with rule-based design and manufacturing.
Build and deploy generative AI models and LLM-based systems on AWS for clients, focusing on production-grade RAG, agentic workflows, and ML pipelines.
Build and scale high-performance ML systems for real-time fraud detection using PyTorch/TensorFlow and multi-GPU training pipelines, while mentoring engineers and shaping data architecture.
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