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Build and deploy AI/ML models to modernize British Army training, integrating them into secure systems and automating workflows with Python, ML frameworks, and MLOps tooling.
Leads advanced analytics and ML modeling to optimize eCommerce, loyalty, and marketing strategies for a grocery retailer.
About Albertsons Companies Inc.: As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners…
Design and run rigorous tests to find weaknesses, biases, and edge cases in Zebra’s AI/ML models, then turn findings into actionable fixes and process improvements.
About Morningstar Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and services for individual…
Build full-stack AI agent platforms using React/TypeScript, Java/Python, and modern agentic frameworks (Agentforce, LangChain) to power Salesforce’s next-gen CRM tools.
Build and deploy ML models for real-time pricing and market-making in sports betting, using Python and distributed systems to drive trading performance and insights.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Build and deploy enterprise AI solutions—LLMs, RAG, and agentic systems—using Python and Azure to improve customer outcomes and operational efficiency in a regulated financial services environment.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Build and deploy AI solutions (generative AI, RAG, agentic workflows) for MUFG’s Global Markets, embedding responsible AI into regulated workflows while ensuring compliance with governance and control standards.
Lead a team producing monthly/quarterly investment performance reports, attribution analysis, and advisor-facing dashboards using Power BI, SQL, Python, and Dataiku for a large US wealth-management firm.
Build and deploy AI models that turn satellite and geospatial data into actionable insights using vision-language models, multimodal systems, and reasoning models in Python with PyTorch/TensorFlow.
Build and deploy enterprise AI solutions like LLM-powered agents and RAG systems to automate workflows and improve productivity in a renewable-energy company.
Design and deploy AI/ML systems to improve engineering productivity, firmware workflows, and product development at a semiconductor company.
Build and deploy ML systems for semiconductor manufacturing, focusing on anomaly detection and virtual metrology using high-frequency time-series and tabular data.
Senior Software Engineer builds and scales cloud-native platforms in Go, Kubernetes, and AWS/GCP, focusing on distributed systems, CI/CD, and observability to support AI-driven data processing at scale.
Lead AI engineering for financial clients, building and deploying GenAI and multi-agent systems while mentoring teams and ensuring compliance with enterprise standards.
Build and deploy production-grade AI and LLM-powered features for a healthcare intelligence platform, scaling models with reliability and compliance across global enterprise customers.
Salary: $90,000 – $115,000 per year About us We’re an entrepreneurial New Zealand company entering an exciting new phase. Building on our existing experience and customer relationships, we’re pivoting towards…
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