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Build and deploy deep-learning computer-vision systems using CNNs and Vision Transformers for defence and security applications.
Build and run Kubernetes-based cloud infrastructure and MLOps tooling (Kubeflow, Metaflow) to train, deploy, and monitor AI models for autonomous drone systems across hybrid/multi-cloud environments.
Lead AI/ML engineering projects, building and deploying LLM applications with RAG pipelines and MLOps tooling.
Build and deploy scalable AI/ML solutions for clients using Python, cloud platforms, and MLOps tools like Kubeflow and MLflow.
Leads AI/ML model development for fintech customer support, focusing on chatbots, RAG systems, and scalable production deployments with cloud infrastructure and MLOps tools.
Senior ML Engineer designs, builds, and deploys scalable ML systems and pipelines using Python, TensorFlow, and cloud platforms, while collaborating with data scientists and engineers.
Build and deploy AI/ML models for aeronautical domains, including transformers, reinforcement learning, and RAG pipelines, to optimize air traffic and support decision-making.
Thales Research & Technology (TRT) is Thales' international research organization, transforming innovative ideas into technological differentiators that power the next generation of solutions. In Singapore, TRT…
Build and operate scalable GPU-powered infrastructure for real-time AI model inference using frameworks like vLLM or Triton, ensuring high availability and cost efficiency.
Build and scale production ML systems, turning research into robust, cloud-native pipelines using Python, Kubernetes, and MLOps tools like MLflow and Kubeflow.
Build and maintain MLOps infrastructure and decision engines to productionize AI/ML models, including LLMs, for real-time enterprise workflows.
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to…
About the Role This role sits at the intersection of robotics and data infrastructure at a well-funded, early-stage robotics company. You'll be responsible for building reliable pipelines and storage systems that…
Principal ML Engineer at Micron designs, builds, and deploys scalable AI/ML models and pipelines to optimize semiconductor manufacturing, using Python, TensorFlow/PyTorch, and cloud platforms like GCP/Azure.
Build and deploy AI models for air-traffic optimization using PyTorch/TensorFlow, reinforcement learning, and RAG pipelines, then ship them to Kubernetes in a cloud-native stack.
Lead the design and automation of GCP-based MLOps pipelines to deploy, monitor, and scale Python ML models using Vertex AI, CI/CD, and IaC.
Builds enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in finance and other industries.
Build and deploy production-grade AI systems, including LLM-powered agents and analytics, to enhance customer experience and workforce productivity using NLP, retrieval-augmented generation, and agentic workflows.
Build and maintain scalable MLOps pipelines on GCP and Vertex AI, automating model deployment, monitoring, and retraining for enterprise AI solutions.
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