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Location Requirement: Remote-based role. Open to candidates in the Mid-Atlantic region. If you are willing to relocate, please contact us, or let us know in your application. The Role: BigPanda is seeking an enterprise…
Build and deploy end-to-end data-science solutions—from model design to production—using Python, ML frameworks, MLOps and cloud-native tools to deliver measurable business impact.
Build and maintain data pipelines and analytics platforms in Python and SQL on Google Cloud to power data-driven marketing campaigns for global brands.
Designs and builds scalable data pipelines and infrastructure in Microsoft Fabric, focusing on ingestion, transformation, and CI/CD automation for a global media/agency network.
Build predictive models and AI-driven analytics to optimize self-storage operations, revenue, and customer experience using Python, SQL, and statistical methods.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Build and deploy generative AI and ML solutions for federal clients, from RAG pipelines to agentic workflows, while standardizing reusable recipes and best practices for Snorkel’s tooling.
Senior product analyst at VK’s IVAS monetization team in Odnoklassniki, building metrics, running A/B tests, and shaping AI-driven features to boost revenue from gifts, microtransactions, and premium options.
Analyze marketing data for a travel metasearch engine, build dashboards, run A/B tests, and maintain data pipelines using SQL, Python, and BI tools.
Develops and maintains Python-based automation tools, processes web data, and builds AI-driven solutions (e.g., text classification) for SEO and digital marketing analytics in Google Cloud. Focuses on data pipelines, API integrations, and reporting with BigQuery/Looker Studio.
Builds and maintains scalable data pipelines to process raw data into actionable insights, collaborating with data scientists and engineers. Core techs: Python, SQL, ETL/ELT, and database architectures.
Senior backend engineer building WIRE, a platform for mining operations using Python (Flask/SQLAlchemy) and Go, with PostgreSQL and Celery.
Designs, builds, and maintains cloud-based data pipelines and infrastructure for a FinTech wealth management platform, focusing on Airflow, Python/SQL, and Azure/Kubernetes. Ensures scalability, reliability, and operational efficiency for financial data workflows.
The Senior AI Engineer will design and deliver enterprise AI solutions for the banking sector, focusing on the full ML lifecycle, LLM integration, and MLOps. The role involves collaborating with cross-functional teams to build scalable, secure, and compliant AI systems using Python, cloud platforms, and modern orchestration frameworks.
Develops and maintains core risk systems for a quantitative hedge fund, including trade data pipelines, real-time risk controls, and P&L monitoring using Python and SQL.
Senior NoSQL engineer specializing in MongoDB and C# backend development for a multi-tenant SaaS platform, focusing on data modeling, performance optimization, and system-wide scalability.
Mid-level data engineer focused on backend process reinvention, leveraging SQL, Python, and Pandas to optimize data workflows and drive strategic consulting solutions.
Desarrolla modelos de Machine Learning y analítica predictiva para extraer insights de datos estructurados y no estructurados.
Builds custom digital solutions using Python, React, and Microsoft tools with CI/CD pipelines on Azure or AWS.
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