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Platform Engineer – Data Science Platform & MLOps
Platform Engineer building and developing a Data Science Platform and MLOps capabilities for cross-functional teams of data scientists, data engineers, and ML engineers to operationalize solutions. Works in a scrum team to deliver robust, scalable, and user-friendly platforms.
Data Engineer: Build Scalable Pipelines & Reliable Data
A Data Engineer at ABACUS MEDICINE in Copenhagen will design, build, and scale data pipelines in a cloud-native environment using a modern data stack and observability practices to support analytics, BI, and AI/ML use cases.
Data Engineer
Data Engineer building and scaling batch and streaming data pipelines on a modern Azure-based data platform (Databricks, Delta Lake, Python/PySpark, SQL) that powers analytics, BI, and AI/ML across the company.
Data Scientist
Bison Group – Mission First. People Always. At Bison Group LLC, we’re more than a defense contractor — we’re a people-focused small business with a strong culture built on trust, respect, and impact. We value every…
Corporate Counsel
Who We Are: Click Therapeutics, Inc., develops, validates, and commercializes software as prescription medical treatments for people with unmet medical needs. As a leading innovator of Digital Therapeutics™, Click…
Senior Software Engineer, AI & Data Platforms (AiDP)
The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs…
ML Infrastructure Engineer
About the Role We're a seed-stage enterprise AI infrastructure company building the context layer that makes AI agents reliable, accurate, and secure for critical business operations — including highly regulated…
Senior AI Engineer
Senior AI Engineer at Scout AI builds and deploys multimodal foundation models for autonomous robotic defense systems, focusing on multi-agent coordination and real-world deployment.
Enterprise Architect - Total Energies
Designs and implements AI-driven industrial data solutions for large energy and process-industry customers, leading end-to-end architecture and integration projects on cloud platforms.
Principal Information Security Engineer (AI Product Security + SecOps)
Lead security engineering in Bengaluru, building AI-driven SecOps and Product Security capabilities while hiring and scaling a local team for Cognite’s industrial AI platform.
Principal Engineer, AI/ML Systems (Context Services)
Principal ML Engineer builds and deploys scalable AI systems for industrial operations, transforming unstructured data into actionable insights using deep learning, generative AI, and computer vision.
Senior AI Engineer - Supply Chain
Senior AI Engineer builds and maintains AI agents that automate complex supply chain decisions by querying industrial knowledge graphs, using tools like Cognite Flows and React/Python stacks.
Senior Project Manager
Leads end-to-end AI and data implementation projects for industrial clients, managing scope, budget, and delivery while driving measurable business outcomes.
Senior Solution Architect
Design and lead AI-driven industrial data solutions for energy and manufacturing customers, integrating cloud platforms and Python/Java to improve efficiency and sustainability.
Senior Data Scientist
Build and deploy AI/ML models and agentic solutions for industrial clients in oil & gas, power, and manufacturing, using Python, SQL, and cloud platforms.
Senior Field Engineer (Pre-Sales/Forward Deployed)
Build and deploy industrial AI agents and prototypes using Cognite’s Atlas AI and Data Fusion platforms, partnering with clients to turn strategy into live solutions.
Solution Architect
Design and lead AI-driven industrial solutions for energy and manufacturing customers, integrating data pipelines and cloud platforms (Azure/AWS/Google) to improve efficiency and sustainability.
Senior Software Engineer - Work Flows
Build and operate a serverless execution engine and workflows orchestration layer for industrial AI, ensuring reliability, scalability, and observability for Fortune 500 clients.