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Lead backend engineering for autonomy services at Caterpillar, designing scalable Java/Spring Boot microservices on AWS and guiding AI-assisted development workflows.
Designs and deploys cloud-native backend services (Java/Spring Boot) for Caterpillar’s autonomy platform, integrating AI agents, microservices, and AWS to improve heavy machinery intelligence and scalability.
Lead architecture and development of backend microservices and APIs for autonomy services, integrating AI models, digital twins, and cloud-native platforms to power Caterpillar’s connected machines.
Leads cloud-native architecture and AI-driven integration for Caterpillar’s digital twin and simulation platforms, designing scalable microservices, APIs, and AI-agent workflows to connect industrial assets and improve real-world fleet performance.
Build and scale the AI infrastructure that powers CrowdStrike’s LLM-driven security products, including GPU clusters, model-serving pipelines, and MLOps tooling.
Build and deploy ML models for 3D geometry and multimodal AI in Autodesk’s design software, focusing on generative AI and computational geometry pipelines.
Lead co-design of production agentic AI systems with enterprise partners, building RAG, multi-agent, and LLM workflows on NVIDIA’s stack (NeMo, TensorRT-LLM) and shaping product roadmaps.
Own the capacity planning and automation for Salesforce’s LLM fleet, writing code to monitor, forecast, and dynamically route model usage across providers while balancing cost, latency, and scale for enterprise AI workloads.
Leads a global Quality Engineering team to define strategy, embed AI-driven automation, and ensure high-quality, secure software delivery for financial messaging and payments systems.
Lead engineering teams that build and scale CrowdStrike’s massive data infrastructure, processing over 3 trillion events daily using Spark, Flink, and related tools to power real-time analytics and AI-driven cybersecurity.
Design and build enterprise-scale data pipelines and cloud architectures on AWS, Databricks, Snowflake, and PySpark, while enabling AI-ready data platforms and leading cross-functional teams.
Lead AI Engineer designs, builds, and scales enterprise-grade AI systems (including LLMs and generative AI) for regulated industries like healthcare and public sector, while mentoring teams and ensuring responsible AI governance.
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our…
Embeds with enterprise customers to prototype, deploy, and scale AI applications using Cloudera’s platform, focusing on generative AI, agentic systems, and enterprise-grade MLOps.
An Applied AI Specialist at Cloudera partners with large enterprises to identify, validate, and accelerate high-impact AI use cases, focusing on machine learning, generative AI, and agentic systems to move projects from concept to production.
Designs and evaluates large language models (LLMs) and generative AI solutions, assessing technical feasibility, scalability, and integration risks for enterprise use cases.
Lead the development of AI/ML models for industrial equipment reliability, predictive maintenance, and failure forecasting using sensor data and deep learning, while collaborating with engineering teams to deploy production-ready solutions.
Build and maintain ML pipelines and recommendation systems for a global streaming platform serving millions, using Python, TensorFlow/PyTorch, and GCP.
Designs, builds, and deploys machine learning models and data pipelines in Python/R, turning complex data into insights for a large African bank.
Principal AI/ML Engineer in robotics leads the design and deployment of expert and generalist robot policies, combining computer vision, task planning, and decision-making under uncertainty for industrial automation systems.
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