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Design and advise customers on generative AI and ML solutions using AWS services like Bedrock, SageMaker, and Nova, including RAG pipelines, agentic workflows, and model customization.
Lead the design and deployment of ML models for credit risk, collections, fraud detection, and customer segmentation in digital lending, using Python, SQL, and MLOps tools.
Builds backend systems in Java/Python to integrate AI/ML models (LLMs, embeddings) into scalable, production-ready agentic AI workflows for ING’s digital platforms, ensuring reliability, security, and observability while collaborating with data scientists and product teams.
Build AI-powered features for AutoCAD and Civil 3D, turning cutting-edge models into real customer workflows used by architects and engineers.
Lead AI/ML engineering to build an AI-ready research data ecosystem for vaccine discovery, integrating diverse datasets and developing predictive models to accelerate R&D.
Lead AI/ML engineering for real-time object tracking and automated triaging using PyTorch/TensorFlow, while mentoring a team and coordinating multi-project data pipelines.
Lead a team of data scientists to build AI-driven propensity models that reduce customer churn through hyper-personalization and microsegmentation for Verizon’s base management.
Research postdoc developing millimeter-wave radar systems for atmospheric remote sensing, applying machine learning to cloud/precipitation observations and publishing findings.
Lead the design and scaling of data pipelines and labeling workflows that power Cisco’s AI models, focusing on high-quality training data for LLMs and agents.
Build and deploy AI models for defense/intelligence missions using Python and PyTorch, from research to production deployment in Linux environments.
Lead the design and productionization of ML systems for auto-financing at scale, collaborating with data science and product teams to build, deploy, and monitor models using Python/Scala/Java and cloud platforms.
Lead the design and operation of a cloud-based AI/ML platform, enabling data scientists to build, train, and deploy models at scale using Kubernetes, AWS, and MLOps tooling.
Build reusable ML tooling and services to productionize data-science models at a finance-focused consultancy, primarily in Python and RESTful APIs.
Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace…
Build and productionize AI features from proof-of-concept to full scale, writing Python code, running tests, and aligning solutions with business needs.
Build and scale low-latency LLM inference systems and data pipelines to power secure AI interactions for enterprise customers at a leading cybersecurity company.
Builds and maintains PySpark-based ML pipelines for anomaly detection and root cause analysis in semiconductor manufacturing, optimizing distributed data processing and deploying scalable models in production.
Build and optimize generative AI models and inference pipelines for Snapchat’s AR and creative tools, delivering scalable, on-device experiences for millions of users.
Build and optimize generative AI models for Snapchat, including LLMs, video generation, and AR, focusing on efficient inference and on-device deployment.
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data…
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