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Designs, builds, and scales enterprise-grade data pipelines and platforms for a bank, focusing on batch/streaming architectures, AI knowledge bases, and cloud-native infrastructure to support risk management, fraud detection, and intelligent automation.
Build and maintain data pipelines for a bank’s data warehouse and AI knowledge base, using Python, Spark, and cloud tools to support risk, fraud, and automation use cases.
Senior SRE responsible for designing observability, maintaining Kubernetes/AWS/Azure infrastructure, resolving production incidents, and automating ops to improve reliability and scalability for a cloud-native SaaS platform.
Designs and maintains scalable GCP data infrastructure and ELT pipelines using BigQuery, Python, and Airflow to power media analytics and reporting.
Leads full-stack development and AI agent integration for Citi’s applications, managing teams to design scalable, secure systems supporting complex AI workflows using React, Python/Java, LangChain, and cloud infrastructure.
Build AI-powered web apps using React/TypeScript on the front-end and Python (FastAPI/Flask/Django) on the back-end, deployed on AWS, while collaborating with global teams.
Builds backend middleware APIs and integration hooks to embed AI security tools into enterprise AI pipelines, focusing on LLM security, agent workflows, and automated red-teaming.
Build and integrate a multi-tenant GenAI security platform in Python, connecting LLMs and agentic workflows to enterprise pipelines with middleware APIs, data ingestion, and security controls.
Develops and integrates ML models into OneRail’s delivery orchestration platform, bridging data science and production systems to enhance AI-driven logistics features via APIs, microservices, and React components.
Responsibilities : The Application Engineer (Backend) will provide the development, test, deploy, and sustainment of various Python based ReST end points, microservices, and data model management capabilities utilizing…
Builds statistical models to evaluate HP’s marketing impact, develops data-driven solutions using R/Python, and collaborates with teams to optimize campaigns and present insights to leadership.
Lead Digital Architect at Caterpillar builds and maintains an enterprise reporting platform, combining full-stack development (Python/Django, React) with cloud operations (Azure) to deliver scalable, secure solutions for internal finance teams.
Builds statistical models to evaluate HP’s marketing impact, develops data-driven solutions, and collaborates with teams to optimize campaigns using R/Python and frameworks like Shiny/React.
Lead the enterprise rollout of GitHub Copilot and build AI agents/agentic workflows to accelerate software delivery at FIS, using LLMs, Python, LangChain, and cloud platforms.
QA intern on the Spark RAPIDS team responsible for GPU software testing, test automation infrastructure development, and web services for NVIDIA's deep learning frameworks and GPU workloads.
Build and maintain backend services for RBC’s metadata management platform using Python, MongoDB, and RESTful APIs to support data governance and compliance in financial services.
Lead development of scalable AI systems processing engineering documents (CAD/BIM, reports) using Python backends and React frontends, integrating LLMs and deploying on cloud.
Part-time/temporary Bioinformatics Data Scientist designing and maintaining pipelines for multi-omics data (RNA-seq, proteomics, flow cytometry), building dashboards, and collaborating with wet-lab and clinical teams using Python, pipeline frameworks, and cloud platforms.
Lead software engineer designing and deploying agentic AI applications (e.g., LangChain, AWS Bedrock) in a cloud-native, microservices architecture on AWS, focusing on autonomous reasoning, tool-use, and production-grade scalability while driving AI-assisted engineering practices across a fintech team.
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