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Builds marketing-to-delivery analytics pipelines, automates Excel reports into BI dashboards, and verifies data quality using SQL, Power BI/Superset, and Python.
Builds and maintains data pipelines and low-code UIs for a government logistics system using Python, PySpark, SQL, and CI/CD tools while collaborating with military stakeholders.
Develops AI-driven geospatial models to analyze satellite imagery for vegetation risk assessment in energy grids, improving wildfire prevention and outage reduction using Python, PyTorch, and geospatial libraries like GDAL and GeoPandas.
Investigate and respond to security incidents at Airbnb, designing detection and mitigation strategies to protect hosts, guests, and company systems.
Join Us at 55ip & Help the Wealth Management Industry Move Forward Working at 55ip means standing at the intersection of finance and technology—and at the cutting-edge of wealth management. We’ve been making rapid…
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Lead a team building scalable data pipelines and infrastructure for an AI-driven platform, designing systems for vector search, ML workflows, and real-time analytics using Python, Spark, Kafka, and vector databases.
Build and maintain Scrapy-based web crawlers to extract and process data at scale using Python and open-source tools.
Build and maintain data pipelines, cloud infrastructure, and ML models to drive operational decisions and AI initiatives in healthcare diagnostics.
Lead a team building predictive models and dashboards to optimize LEGO’s hiring, retention, and workforce planning using Python/R, Power BI, and HR analytics tools.
Lead AI engagements, design full-stack systems, and deploy production-ready prototypes using React, Python, and RAG architectures for enterprise clients in Kyndryl’s Frisco lab.
Designs and maintains scalable data models and architectures for Kraft Heinz, enabling BI reporting, AI applications, and data products across global operations.
Build and refine conversational AI tools and autonomous agents to help supply-chain teams query data in plain language using Python, SQL, and LLM APIs.
Build and deploy AI/ML models and APIs to power customer-facing services, including sentiment analysis and agentic AI, using Python, SQL, and cloud platforms like AWS/GCP.
Build and deploy scalable, secure machine learning systems and recommender engines using Python, PyTorch, and AWS SageMaker to power Thomson Reuters’ AI-driven products.
Build and maintain scalable bioinformatics workflows and tools to analyze proteomics and genomics data, enabling drug discovery and biomarker identification using R, Python, and AI-driven methods.
AI Implementation Engineer - Job Description Reports to: Senior Manager of AI Implementation Location: 999 Douglas Ave, Altamonte Springs FL Department: Artificial Intelligence Who We Are Fitness Ventures is one of the…
Job Description Summary: We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this…
Development and optimization of large-scale data processing workflows using Apache Spark, PySpark, and SQL Building and enhancing multi-stage ETL pipelines with idempotency and failure recovery Implementation and…
Builds and optimizes real-time data pipelines and reporting infrastructure for an investment bank’s strategic data mart, using Java/Scala, SQL, and ETL tools to support regulatory, risk, and business analytics for Leto deposits and OTC derivatives.
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