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Build and operate production ML models and AI-driven systems for anomaly detection across Disney's streaming platforms (Disney+, Hulu, ESPN). Core tech: Python, PyTorch, FastAPI, MLflow, AWS/EKS, Docker, and time-series data processing.
Designs and builds scalable data pipelines, ETL workflows, and warehouses to feed analytics and applications, using SQL, Python, and cloud tools.
Validates and improves LLM/ML model outputs while building scalable systems for data quality and reliability in AI systems used by millions globally.
Build and maintain scalable data pipelines and infrastructure to power analytics and compliance in a cloud-based big data environment.
Designs, deploys, and maintains cloud-based DevOps platforms and infrastructure for government digital products, focusing on scalability, security, and compliance in regulated environments.
Cloud Engineer designing, deploying, and managing cloud infrastructure on AWS/Azure, including monitoring, security, troubleshooting, and automation using Python, PowerShell, or Bash.
Develop and maintain automation frameworks for SSD firmware development, validation, and release at Micron in Singapore, using Python, Linux, CI/CD pipelines, databases, and data visualization tools.
Designs, builds, and deploys AI/ML systems on Google Cloud to solve business problems, focusing on model optimization, MLOps pipelines, and agentic AI workflows for Crate & Barrel’s core products.
Staff ML Engineer designing and owning shared AI/ML capabilities—model training pipelines, evaluation frameworks, agent builder frameworks, and ML tooling—for Intuit's finance, accounting, and tax products using Python, LLMs, and cloud platforms.
Software Engineer II building and operating production ML models and AI-driven anomaly detection systems for Disney's streaming ecosystem (Disney+, Hulu, ESPN) using Python, PyTorch, FastAPI, and AWS.
Client-facing financial program and data analyst supporting defense acquisition programs with funding tracking, expenditure analysis, and data-driven insights using Power BI, SQL, Python, and Databricks for DoD/Navy clients.
Build and enhance system-wide profiling and analysis tools primarily in Python with some C++, collaborating across teams to deliver solutions for developers in HPC, ML/AI, and embedded markets.
BI Analyst in NLR's CFO office, implementing and maintaining BI reporting tools (Power BI, SSRS, Tableau), building dashboards, supporting data governance, and optimizing enterprise financial reporting and analytics in a fully remote role.
This 8-month internship involves working with the Applied AI Engineering team to build and integrate LLM-based features, backend APIs, and data pipelines. Interns will gain hands-on experience with technologies like Python, LangChain, and Azure OpenAI while contributing to real-world AI security products.
Senior ML Engineer designing, implementing, and supporting AI/ML solutions and scalable ML infrastructure on GCP, using Python with frameworks like TensorFlow/PyTorch/LangChain, Docker, Terraform, and ML orchestration tools.
Develops and maintains backend services and data pipelines using Python/Django, MongoDB, and REST APIs to process, analyze, and manage data workflows for an international platform.
Senior Backend/Data Engineer building scalable Python/Django services, REST APIs, and data transformation pipelines (pandas, NumPy) for an international data management platform.
Backend/Data Engineer building and evolving a Python/Django data management platform with MongoDB, REST APIs, and data processing pipelines using pandas and NumPy, working fully remotely on an international project.
Backend/Data Engineer building and evolving a data management platform using Python, Django, MongoDB, and pandas — designing REST APIs, implementing data workflows, and writing automated tests in a fully remote, international team.
Develops scalable backend services and data pipelines using Python/Django, focusing on API design, data processing, and async workflows for a global data management platform.
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