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Build and deploy ML models for predictive maintenance and energy optimization using Python, FastAPI, and Azure ML in ETAP’s electrical digital twin platform.
Senior trainer teaching remote Data Engineering on AWS with Python and SQL, designing ETL pipelines, and mentoring students in hands-on labs.
Build and maintain Python-based data pipelines, REST APIs, and automation tools to process, clean, and expose data for analytics and internal tools.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to productionize insurance-focused solutions.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to move prototypes into production.
Build and deploy production-grade AI systems, including LLMs and RAG pipelines, using Python and cloud AI platforms.
Builds and refines data pipelines and models for systematic and discretionary trading strategies using Python and market data.
Lead a Python team building scalable RESTful microservices for JPMorgan’s Delta One equities platform, collaborating with front office and quant research to deliver market-leading trading tools.
Builds a globally distributed, cloud-native market data platform for realtime tick data to support quantitative research and trading at a systematic investment firm.
Build and maintain modern Python-based trading systems for a global quantitative investment firm, collaborating with quants and traders to implement data-driven trading solutions.
Build and deploy ML models and ETL pipelines in Python/SQL to optimize freight logistics, partnering with data scientists and business teams.
Build and deploy AI/ML models and data pipelines to power logistics solutions, working with Python, cloud platforms, and MLOps tools.
Senior Data Engineer builds and maintains GCP-based data pipelines, ETL workflows, and analytics models for MSP customers, using Python, SQL, and Airflow.
Build and maintain Python-based ETL pipelines for fund administration, converting raw financial data into formats for proprietary systems while supporting global teams.
Designs and maintains scalable data pipelines and databases for a real-estate brokerage, using Python, SQL, AWS, and ETL tools.
Build and maintain GCP-based data pipelines and analytics for enterprise clients, using Python, SQL, Airflow, and BigQuery to ensure reliable data ingestion and reporting.
Build and maintain scalable batch and streaming data pipelines in AWS + Databricks, using Python, SQL, and modern lakehouse architectures to power analytics and reporting for a fast-growing fintech lender.
Build and maintain Python-based microservices for a multi-carrier shipping platform, using Flask, Kubernetes, and cloud services to power rate shopping, tracking, and delivery proof.
Build and maintain AI evaluation infrastructure for LLM-driven features in Progress AI, focusing on prompt optimization, dataset quality, and model accuracy measurement.
Build and ship the core AI engine and agents that reason over complex business models, turning mathematical ideas into production code in Python and FastAPI.
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