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As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve…
Designs, builds, and deploys AI/ML and GenAI solutions for cloud applications, owning the full lifecycle from model development to MLOps and monitoring.
Designs, builds, and deploys AI/ML models, LLM systems, and agentic-AI solutions for an education technology academy, using Python, cloud platforms, and modern AI workflows.
Lead a team to design, build, and deploy AI/ML models that transform market operations at a global bank, using Python, cloud platforms, and MLOps practices.
Lead the design, development, and deployment of AI/ML models—including Agentic and Generative AI—to automate and optimize financial data reconciliation at enterprise scale for a global bank.
Senior engineer building and running the AI/ML platform that powers agentic products for JPMorgan’s International Private Bank, focusing on Kubernetes, MLOps, and production reliability.
Design and evaluate MLOps systems and GPU kernel optimizations for next-gen AI models using JAX, PyTorch, and Triton, collaborating with research teams on large-scale training infrastructure.
Build and maintain Thermo Fisher’s enterprise data-science and AI platform in Milan, designing ML models and production pipelines with Python, Databricks, Spark, and AWS to deliver scalable analytics solutions.
Develops and maintains cloud-native, distributed systems for datacenter networking, focusing on automation, observability, and CI/CD pipelines using tools like Kubernetes, Terraform, and OpenTelemetry.
Designs and leads enterprise-scale Databricks Lakehouse platforms on Azure, AWS, or GCP, including governance, security, and AI/ML workloads, while migrating legacy systems and mentoring teams.
Designs and deploys AI/ML algorithms for medical devices, analyzing physiological signals and clinical data to improve patient monitoring and disease detection.
Consultant in Milan designing and building generative-AI and agentic solutions for insurance clients, using Python, cloud AI platforms, and modern AI frameworks.
Junior role in Deloitte’s Bari office building GenAI and agentic AI solutions for insurance clients, using Python, LLM frameworks, and cloud services.
Designs and executes the multi-year AI platform strategy for a large accounting and advisory firm, scaling an Azure-based AI platform to 1,000+ agents while ensuring performance, governance, and cost efficiency across tax, audit, and advisory workflows.
Builds ML and statistical models to detect threats, prioritize vulnerabilities, and enrich security operations using Python, SQL, and Databricks for large-scale cybersecurity datasets.
Builds and maintains cloud-native networking software and automation tools using Python, Go, or Java, focusing on Kubernetes, OpenStack, and CI/CD pipelines.
Builds and deploys AI/ML and GenAI models for cloud applications using Python, PyTorch/TensorFlow, and MLOps tools like MLflow and Langfuse.
Lead a team to build and maintain customer insight models (CLV, retention, fraud) and a scalable feature store using Python, SQL, and MLOps, driving data-driven decisions for Prudential’s APAC markets.
Build and deploy ML models, GenAI use cases, and predictive systems for banking clients using Python, SQL, and LLM frameworks.
Lead a team of data scientists to build AI-powered analytics for The Home Depot’s supplier platform, integrating GenAI, LLMs, and predictive models to drive data-driven decisions.
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