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Analyzes building energy and automation data to identify efficiency opportunities and deliver performance reports using OpenBlue Connected systems and HVAC expertise.
Build and refine algorithmic trading strategies and execution algorithms for equities using Java/C++ and Python/R, collaborating with global quant teams.
Intern researching and implementing AI/ML algorithms for embedded systems and edge devices using C/C++ and Python, with a focus on time-series models.
Lead the end-to-end development of AI-powered commercial and medical products for oncology, including GenAI tools and predictive models, to drive measurable field adoption and patient outcomes.
Design and run performance tests for DTCC’s financial-market systems, analyze bottlenecks with tools like JMeter and Dynatrace, and automate tests in a CI/CD pipeline.
Build and maintain Python-based web scrapers and OCR pipelines to extract structured data from retail and CPG portals, deploying on AWS.
Lead AI-driven time-series modeling and Agentic AI deployments for semiconductor manufacturing and facilities operations, building anomaly detection and forecasting systems at enterprise scale.
Lead AI-driven drug discovery for low molecular weight therapeutics, designing and deploying ML models to accelerate molecular design and lab-in-the-loop experiments.
Builds time-series and ML models to forecast demand and optimize Comcast’s supply chain, using Python, SQL, and cloud platforms like AWS SageMaker.
Lead performance test engineer at DTCC, designing and automating load/resiliency tests for financial-market systems using JMeter, LoadRunner, AWS, and CI/CD pipelines.
Build cloud-native backend services and data pipelines for real-time water management analytics, integrating AI/ML features to power smart alerts and anomaly detection for utilities.
Builds ML models to detect fraud and streamline claims for debit card customers, using Python, Spark, and AWS to analyze transaction patterns and improve real-time decisions.
Senior AI Engineer builds and deploys scalable machine-learning and LLM-powered solutions to transform products and operations, focusing on generative AI, retrieval-augmented generation, and cloud platforms.
Builds and maintains data pipelines, dashboards, and analyses to guide Netflix’s content strategy and measure title performance across verticals.
Lead a team to design, automate, and execute performance and resiliency tests for DTCC’s financial-market systems using tools like JMeter, LoadRunner, and Dynatrace, ensuring scalability and reliability.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Develops predictive models and analytics for biologics manufacturing, analyzing process data to optimize yield and ensure GMP compliance using Python, SQL, and machine learning.
Build and own demand forecasting models for Intuit’s Global Business Solutions Group using Python, SQL, and ML to predict customer demand and guide capacity planning.
Build and deploy ML models to detect debit fraud in real time, using Python, Spark, and gradient boosting, while collaborating with engineers and product teams to protect customers.
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