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Build a new digital GI care product from scratch using React Native, TypeScript, and AI-driven tools, leading experiments and scaling the platform for millions of users.
Designs and leads TradingView’s enterprise data architecture, including real-time financial data pipelines, data lakes, and AI-ready infrastructure while mentoring engineers and setting data governance standards.
Build and maintain full-stack Python/React apps that integrate AI-driven security tools, automate workflows, and scale enterprise systems in a hybrid Minneapolis role.
Build and maintain full-stack Python/React apps that integrate AI-driven security tools, automate workflows, and scale enterprise services in cloud environments.
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast routes for logistics and insurance customers using time-series and geospatial models.
Develops statistical models and ML algorithms to optimize clinical trial workflows (e.g., site randomization, patient matching) using AWS tools (SageMaker, Redshift) while ensuring HIPAA/GDPR compliance and monitoring model fairness in a healthcare-focused SaaS platform.
Lead a team to build and manage a centralized AI/ML Models-as-a-Service platform, overseeing model development, deployment, and MLOps pipelines for enterprise use.
Design and lead enterprise-scale data platforms using Databricks, AWS/Azure services, and modern architectures like Medallion and Data Mesh; pair with engineers to build production-grade data products.
Build and optimize multilingual AI translation models and MLOps pipelines using AWS SageMaker and containerized workflows to support government mission applications.
Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.
Build and deploy generative AI and Python applications using LLMs, ML, and AWS services like Sagemaker and Bedrock for a government contractor.
Senior ML Engineer designs, builds, and deploys cloud-based AI/ML solutions, leads MLOps practices, and mentors junior team members using Python, FastAPI, and cloud services like AWS/GCP.
A major Australian bank is seeking multiple Senior AWS Devops Engineers to join their team on a permanent basis. Roles can be based in Sydney or Melboune and the team work 2 days a week in the office. This is great…
Lead a team to design and deploy AI/ML, Generative AI, and Agentic AI solutions on AWS and GCP for healthcare use cases, ensuring compliance and rapid delivery of production-grade systems.
Build and own AI/ML detection systems for cybersecurity, from data pipelines to production models, focusing on threat classification and adversarial robustness.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Designs and implements AI/ML and generative AI solutions for enterprise clients, focusing on architecture, LLM/RAG pipelines, and MLOps—collaborating with data and product teams to scale AI from proof-of-concept to production while ensuring security, governance, and cloud platform integration.
Lead a team of engineers to design, build, and deploy AI and automation solutions for Amgen’s AI Studio, turning business challenges into scalable, production-ready products with measurable impact.
Build, deploy, and monitor ML/AI models in Python using TensorFlow/PyTorch, orchestrate pipelines with Airflow/Nifi, and scale on AWS/Databricks.
Design and implement scalable MLOps/LLMOps pipelines on AWS, including SageMaker, EKS, and CI/CD, to deploy and monitor production-grade AI models for enterprise clients.
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