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Lead a team integrating AI/ML models into grid and HVDC systems, designing scalable software and collaborating with data scientists to validate technical feasibility.
TL;DR – We’re building humanity’s defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted operational decisions…
Lead the design and delivery of AI/ML solutions for clients, focusing on data analysis and predictive modeling to enhance business decisions.
Lead backend engineer building and optimizing AI-driven services in Python/Java, mentoring teams, and shaping GenAI strategy for scalable automation and analytics.
Lead the design and deployment of AI/ML solutions using Azure ML, OpenAI APIs, and generative AI for computer vision tasks like object detection and retail shelf analysis.
Lead a team building and scaling machine-learning systems in Python and AWS to deliver hyper-personalized marketing messages across channels, while ensuring model governance and responsible-AI practices.
Lead AI/ML engineering for Responsible AI solutions, designing and deploying ethical, explainable models while mitigating bias and privacy risks for enterprise clients.
Leads a team building AI/ML infrastructure tools to accelerate model training and deployment for ads systems, focusing on developer experience and scaling ML workflows at Meta.
Lead the security architecture for JPMorganChase’s AI/ML platforms, designing controls against threats like prompt injection and data poisoning while guiding secure AI agent development and deployment.
Leads AI/ML architecture for edge semiconductor products, defining specs, prototyping models, and benchmarking AI IP to drive NXP’s Edge AI strategy and innovation.
Lead a team to curate, annotate, and validate AI/ML datasets for defense research, ensuring data quality and model readiness in a secure environment.
Lead the design and deployment of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, and Airflow to move ML models from concept to production.
Position Overview As our Applied Machine Learning Lead, you will play a key role in turning data into measurable business value. You will lead the identification, prioritisation, and delivery of high-impact machine…
Lead a team building scalable AI/ML pipelines and cloud-native services to extract financial insights from documents, using Python, LLMs, and AWS/Azure/GCP.
Lead a finance analytics team to build data warehouses, BI systems, and AI/ML models on GCP that automate finance processes and provide self-service insights for stakeholders.
About the Role Hopper is looking for a Lead, Finance Analytics & Enablement AI/ML to own our data warehouse, business intelligence, GCP/AI optimization, and Finance AI enablement strategy. You will be a key…
Lead a team to build and optimize Hopper’s finance data warehouse, AI/ML automation, and GCP infrastructure, turning financial data into actionable insights and self-service analytics for stakeholders.
Lead a team to build and optimize Hopper’s finance data warehouse, BI, and AI/ML automation, turning financial data into actionable insights and enabling AI-driven decision-making across the travel-fintech platform.
Lead a small team building and scaling ML infrastructure for a quant fund, including distributed training, LLM hosting, and deployment systems in a high-stakes environment.
Lead a team to design, build, and deploy production-grade AI/ML systems for a large-scale digital platform, using Python, cloud tools, and MLOps practices.
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