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Data scientist building and evaluating ML models, fine-tuning LLMs, and deploying real-time FX risk monitoring models on AWS for Amazon's currency conversion system.
Hardware development engineer on AWS GenAI & ML Servers, defining server architectures, conducting rack integration validation, ensuring thermal/mechanical/power/signal integrity, and leading vendor design reviews.
Build deployment systems, CI/CD pipelines, monitoring dashboards, and automation frameworks for AWS ML's Fleet Lifecycle & Operational Workflows (FLOW) sub-team.
Data Scientist applying statistical and machine learning techniques to build causal models, design experiments, and develop measurement frameworks for Amazon Prime marketing incrementality analytics.
Apply statistical, mathematical, and machine learning techniques to build causal and treatment effect models, design experiments for marketing incrementality, and create dashboards and reporting for Amazon's EU Prime team.
Data Scientist II designing and analyzing experiments for EU Prime and Marketing Analytics, applying statistical/ML methods and causal inference to build dashboards, ETL pipelines, and rigorous experimentation frameworks.
The AI Solutions Architect designs, implements, and oversees the performance, scalability, and security of AI solutions while providing technical guidance to cross-functional teams.
- Analyze and interpret complex data sets - Collaborate with cross-functional teams - Continuously improve AI systems - Design and deploy machine learning models - Develop and implement machine learning algorithms
This co-op researcher role involves collaborating with teams to design, implement, and benchmark state-of-the-art computer vision and machine learning algorithms.
The Machine Learning Engineer will design, build, and deploy machine learning solutions for production environments while collaborating with research and engineering teams. The role involves running experiments on large datasets and maintaining customer-facing software products.
The Python Developer will build and maintain modular backend and middleware services while implementing tools for machine learning model deployment and monitoring. This is a remote role focused on backend development and R&D.
Build data products with Streamlit, develop statistical and ML models (regression, classification, clustering), apply NLP techniques including topic modeling, and present insights to leadership.
Design and implement enterprise data platforms on Databricks, build ETL/ELT pipelines with Spark/PySpark/SQL, and provide technical leadership for data architecture and legacy migration projects.
Develop and maintain Power BI dashboards, reports, and data models; create DAX measures and KPIs; write SQL queries and perform ETL while ensuring data accuracy and report performance.
Senior full-stack Java engineer developing and optimizing high-throughput image analysis, detection, and tracking algorithms for remote sensor data in a Linux environment.
Design and modernize enterprise data warehouse architectures, including data modeling, integration patterns, and governance, in a fully remote role.
- Analyze HR key performance indicators - Create employment contracts and amendments - Develop HR reporting dashboards - Ensure HR data quality and consistency - Generate HR reports and metrics - Manage employee life…
The AI & Data Engineer will design scalable data architectures, develop generative AI solutions, and manage MLOps workflows. The role involves implementing RAG systems, vector databases, and graph databases while ensuring data privacy and quality.
Internship in AI & Data Engineering at Deloitte focused on building end-to-end data processing features, cloud data architecture, LLM-based and OCR automation, and web app components for client projects.
Junior Data Scientist on Adidas's supply chain advanced analytics team, building and testing analytical components, performing data exploration and quality investigations, and writing Python and SQL code to support production systems.
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