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Build full-stack web apps and data pipelines for an online furniture retailer, using React, Node.js, Python, and cloud services like AWS and Databricks.
Build and maintain the AI/ML platform that turns experimental models into production-grade, governed solutions using Databricks, AWS, MLflow and MLOps practices.
Build and deploy ML models (PyTorch/TensorFlow) for computer vision and generative AI to enhance cinematic pipelines and theatrical experiences in the entertainment industry.
Build and maintain ML pipelines, annotation systems, and simulation for robot autonomy models, deploying models to edge devices like Jetson and ARM.
Build and maintain the AI/ML platform that turns experimental models into production-ready, governed, and scalable solutions using Databricks, AWS, MLflow, and related tools.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Research and develop efficient on-device AI inference systems, optimizing models and hardware-software co-design for Qualcomm’s low-power AI accelerators.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Senior DevOps Engineer designs and automates cloud infrastructure and CI/CD pipelines using Terraform, AWS, Azure, and GitHub Actions to deploy containerized apps on Kubernetes.
Design and maintain Kubernetes-based infrastructure for scalable AI inference workloads, including GPU scheduling and monitoring, using tools like Terraform, Ansible, and Prometheus.
Maintain and automate SAS Viya environments for ING’s modelling teams, deploying analytical/risk models and troubleshooting platform issues in Azure.
1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Our client in the fintech space is seeking a fulltime/permanent Engineering Manager to lead and scale the Data…
Lead AI/ML projects to build safety and security mitigations for Google Workspace, including LLM-based auto-raters and prompt-injection classifiers, collaborating with DeepMind and Workspace teams.
Build AI-enhanced full-stack applications using Python and Ruby on Rails, integrating ML models and vector databases into scalable SaaS platforms.
Build and maintain the AI platform infrastructure, including Kubernetes, vector databases, and real-time monitoring, using Java, Azure, and AI tools like GitHub Copilot.
Build and scale AI/ML systems for banking, including LLM apps, RAG pipelines, and agentic workflows, while ensuring secure, high-quality data pipelines and MLOps automation.
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