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Senior Data Scientist builds ML models and dashboards to optimize parking revenue and customer experience using Python, SQL, and cloud tools at a proptech startup.
Lead data pipelines and engineering teams to design scalable, AI-assisted data solutions using Microsoft Fabric, SQL Server, MongoDB, and Power BI for analytics and reporting.
The Principal Hardware & Software Test Engineer will lead product quality initiatives, develop test specifications, and build automated dashboards to track hardware and software performance. The role requires expertise in Python, SQL, and data visualization to analyze product data and drive quality improvements across the development lifecycle.
Senior Data Scientist building and owning end-to-end ML models for ETA/ATA forecasting and NLP/LLM-based status extraction on a real-time supply chain visibility platform, using Python, SQL, Airflow, and AWS.
Indicium AI is seeking an AI Engineer to design and deploy production-grade AI systems using LLMs, RAG pipelines, and agentic frameworks. The role focuses on building scalable, reliable AI applications and orchestration layers rather than model research.
The Data Engineer will design and implement data architectures and automation tools to support U.S. Army GEOINT intelligence requirements. The role involves working with Python, R, Java, and other languages to manage data integration and analysis for mission-critical operations.
Intern developing end-to-end AI and data-centric software solutions to enhance operational efficiency of AMD CPU/GPU product development, using Python, SQL, and ML frameworks in a cloud-based production environment.
Lead a team to design, build, and deliver data analytics solutions for clients across industries, using SQL, Python, visualization tools, and cloud platforms to turn raw data into actionable insights.
Senior Backend/Data Engineer building scalable Python/Django services, REST APIs, and data processing pipelines for an international data management platform, using MongoDB, pandas, NumPy, Celery, and Redis.
Data Engineer building and maintaining scalable data pipelines, debugging production data issues, optimizing SQL queries, and implementing data ingestion/storage strategies using Python, Pandas, SQL, and cloud platforms.
Backend/Data Engineer (Mid/Senior) building and evolving a remote data management and processing platform using Python, Django, MongoDB, pandas, and NumPy, with a focus on REST APIs and data workflows.
Develops AI/ML models and data analysis tools for US National Security projects, using Python to prepare data, build models, and create visualizations for DoD customers.
Builds and maintains backend services and data pipelines using Python/Django, focusing on API development, MongoDB data management, and large-scale data processing with pandas/NumPy.
Senior Backend/Data Engineer builds scalable Python/Django APIs, processes data with pandas/Numpy, and manages MongoDB/PostgreSQL for a global data platform. Focuses on async workflows (Celery/Redis) and cross-team collaboration in a fully remote, international tech environment.
Job opportunity for Data Engineer at PT Sigma Global Teknologi in Kota Jakarta Barat, DKI Jakarta, Indonesia. Kualifikasi 1. Programming language a. Phyton b. Advance SQL (subquery, ROW_NUMBER, RANK, PARTITION BY,…
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer II at JPMorgan Chase within the Corporate Technology, you are part of an agile…
Build and maintain production MLOps pipelines and frameworks in Python to operationalize machine learning models at enterprise scale for a large financial institution.
Data Science Consultant building and optimizing ML classifiers, conducting data mining, and onboarding clients to Blue Yonder's Luminate Planning supply-chain suite using Python, SQL/Snowflake, and statistical modeling.
The Data Scientist will design and implement scalable machine learning and optimization models to enhance business processes at P&G. The role involves collaborating with engineering teams to productionize algorithms using Python, cloud platforms, and advanced AI techniques.
Develops full-stack solutions for a bank’s TradeFinder platform, combining quantitative analysis and programming to build tools for risk management and regulatory compliance. Works with Python, Java, Angular, and SQL to integrate cross-functional banking systems.
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