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Build production-grade ML systems for HVAC energy efficiency using sensor data, time-series modeling, and anomaly detection in a climate-tech startup.
Build and scale ML feature pipelines in Snowflake/Snowpark and Databricks, productionize batch/real-time inference, and implement MLOps/LLMOps to drive measurable business impact.
This role leads AI product strategy, roadmapping, and delivery for SharkNinja, defining AI initiatives that drive revenue growth or operational efficiencies while ensuring compliance and data integrity.
Designs and maintains secure data infrastructure for intelligence systems, building ETL pipelines, databases, and APIs to process and govern classified sensor data in compliance with government standards.
Build data pipelines, develop ML models, and deploy production solutions for retail forecasting, inventory, and ecommerce in an on-site role collaborating with cross-functional teams.
Hands-on Data Engineer building scalable data pipelines and ML models on Google Cloud (BigQuery, Vertex AI) to solve demand forecasting, inventory optimisation and marketing attribution problems for an Australian outdoor retail company — fully on-site in Sydney.
What Impact You'll Have GRVTY is seeking a motivated and experienced Data Manager to provide technical and managerial leadership over our overhead satellite imagery preprocessing operations. The ideal candidate is…
Data Engineer building scalable ETL/ELT pipelines, data warehouses, and data lakes using Python, SQL, Apache Spark, Airflow, and cloud platforms (AWS/Azure/GCP) to power analytics and AI/ML products.
Senior Backend Engineer leading architecture and evolution of backend services that deploy and serve ML/biometrics models in production on AWS, using Java and Python.
Build and secure AI-enabled applications using LLMs, RAG pipelines, and vector search; deploy in FedRAMP environments and ensure compliance with accessibility and adversarial testing standards.
Lead AI Engineer/Architect responsible for enterprise AI solution architecture and hands-on technical delivery of Generative AI, LLM, RAG, and agentic AI systems for a federal program in Washington, DC, with strong emphasis on NIST/FISMA compliance and security.
Description Role Summary The AI Architect will define the target-state architecture for securing AI — spanning data, models, platforms, and applications. This role sets technical standards and reference architectures…
Senior Product Manager builds and owns Campminder's shared AI infrastructure (RAG, evaluation, services) so product teams can ship reliable AI features for summer camps.
Lead architectural design across data platforms, AI/ML initiatives, and enterprise systems integration for a Defence decision-support environment in Canberra, covering data strategy, secure cloud/on-prem architecture, and MLOps.
Cognitio Digital is seeking an experienced Solution Architect to support a Defence customer delivering enterprise data, analytics and artificial intelligence capabilities in a secure, mission-critical environment. This…
Leads AI-driven recommendation systems for an e-commerce platform, designing multimodal search and personalization models using Google's Vertex AI and TensorFlow.
Build and scale large-scale data pipelines and platforms for an AI-powered e-commerce discovery engine, using Spark, Kafka, Flink, and GCP to power personalization, recommendations, and ML systems.
Designs and maintains AI/ML systems for federal agencies, including model training, deployment, and MLOps, using enterprise-grade tools and DoD-compliant security practices.
The AI Engineer will design, develop, and deploy generative AI and machine learning solutions using LLMs, prompt engineering, and MLOps. The role involves integrating Azure and Snowflake technologies to build scalable AI applications.
Build and deploy ML models to recover underpayments for hospitals, improving revenue and efficiency using Python, scikit-learn, and cloud MLOps.
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