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Senior Data Scientist builds and leads AI/ML models and analyses to solve complex business problems using Python, Databricks, and LLM workflows, translating data insights into actionable strategies.
Build and optimize data pipelines using Snowflake, Databricks, Python, and SQL to deliver scalable analytics solutions for financial clients.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Build and maintain data pipelines that feed AI agents in a proptech startup, using Python, SQL, and cloud tools to clean and organize data for models and insights.
Builds and maintains ETL pipelines in Python to integrate tax-sector data sources using Pandas, Pyarrow, Polars, and MS SQL Server.
Build and maintain Python-based ETL pipelines and data-integration apps for tax-related business processes, using Pandas, NumPy, SQL, and REST APIs.
Build and deploy AI/ML models in Python for HR software, integrating them with backend systems using Django and Kubernetes.
Senior Python backend developer building microservices and APIs for data-driven platforms using Flask/Django and cloud tools.
Build and maintain FX/Rates pricing systems in Python using Pandas, NumPy, Flask/Django, with optional ML/NLP work in a global-banking team.
Builds and deploys Python-based ML services and APIs for fintech, logistics, and healthcare clients using Django/Flask, TensorFlow, and DevOps/MLOps tooling.
Build and maintain enterprise back-end systems in Python using frameworks like Django REST or FastAPI, collaborating with cross-functional teams to deliver scalable digital solutions.
Senior Python developer building backend and frontend apps with React and PostgreSQL, deploying to AWS and maintaining CI/CD pipelines for energy-industry software.
Builds a single financial platform for systematic trading with React, TypeScript, and Material UI, collaborating with quants to embed strategies and optimize portfolios.
Build and maintain risk computation platforms using Java, Spring Boot, and Big Data tech to quantify and reduce exposure in capital markets.
Build and scale risk-computation platforms in Java/Spring, Kafka, and Big Data stacks to quantify and reduce TD Securities’ exposure across global markets.
Design and maintain cloud infrastructure using IaC (Terraform, AWS CDK), build CI/CD pipelines (GitHub Actions, Azure DevOps), and operate Kubernetes workloads on AWS/Azure.
Build full-stack web apps in Python and .NET, integrate AI/ML features, and deploy to cloud platforms like Azure or AWS.
Build and optimize Python-based data processing pipelines, replacing legacy SAS workflows with pandas, NumPy, and distributed tools like Spark.
Build and maintain Python-based financial applications using Django/Flask, Java, React, and cloud services for a fintech firm in Toronto.
Builds scalable, secure Python backend services and RESTful APIs, integrating databases and cloud platforms while collaborating with frontend and DevOps teams.
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