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Senior Machine Learning Engineer Team: Engineering Location: New York, NY Commitment: Full-Time Workplace Type: onsite Who We Are: The world is electrifying, and HVAC is at the center of it. Over the next decade, 100…
Builds and maintains high-performance distributed systems in C++ for processing massive financial time-series datasets, focusing on storage engines, query execution, and RPC layers.
Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity…
Leads end-to-end ML model development and data science solutions for global manufacturing/engineering, mentors teams, and consults on GenAI/agent tools to optimize productivity and project delivery.
Build and deploy AI systems that analyze millions of security events per second to detect and prioritize threats using retrieval, ranking, and anomaly detection at enterprise scale.
Build and deploy ML models to power Workday’s AI-driven consumption pricing platform, analyzing usage data and informing product decisions.
Senior engineer building and scaling a massive cybersecurity data lake that processes trillions of daily events, using Java, Spark/Scala, Flink, Kubernetes, and AWS to power analytics and threat detection.
Lead engineering teams that build and scale CrowdStrike’s massive data infrastructure, processing over 3 trillion events daily using Spark, Flink, and related tools to power real-time analytics and AI-driven cybersecurity.
Principal engineer builds and owns a self-service real-time data enrichment platform at a cybersecurity leader, using Spark/Flink to process trillions of daily events and empower customers to proactively hunt threats.
Build and deploy machine-learning models to extract business insights from retail data using Python, SQL, and cloud data tools in a hybrid team at a South African fashion retailer.
Principal engineer designs and builds a secure, governed Azure/SAP data platform (Microsoft Fabric, OneLake, SAP BDC) to centralize analytics, reporting, and AI across a chemicals manufacturer.
About the Role We are seeking an experienced Marketing Mix Modeling (MMM) Analyst/Senior Analyst with a strong background in pharmaceutical and life sciences analytics. The ideal candidate will have hands-on experience…
Deploys and configures Litmus Edge at manufacturing sites, integrating OT systems (PLCs, SCADA) with IT/cloud platforms (ERP, MES, Azure/AWS) to enable data flow and Industry 4.0 operations.
An Applied AI Specialist at Cloudera partners with large enterprises to identify, validate, and accelerate high-impact AI use cases, focusing on machine learning, generative AI, and agentic systems to move projects from concept to production.
Lead the development of AI/ML models for industrial equipment reliability, predictive maintenance, and failure forecasting using sensor data and deep learning, while collaborating with engineering teams to deploy production-ready solutions.
Build and deploy machine learning models to automate forecasting and scenario simulation for sales, finance, and commercial teams using Databricks, Azure ML Studio, and Python.
Lead the strategy, roadmap and delivery of governed data products for CIBC’s Global Markets business, bridging business needs with scalable analytics, AI and modern data platforms like Databricks and Snowflake.
A 1-year internship developing tools to collect, clean, and validate machine/production data for semiconductor equipment R&D, with Python/SQL and automated data-quality checks.
Build and deploy machine-learning models on large-scale industrial manufacturing data using Python, Spark, and SQL to optimize semiconductor production processes.
Build and maintain the data and modeling layer for AI agents, including datasets, predictive models, and evaluation frameworks to power Rockwell’s agentic AI products.
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