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Junior developer builds and maintains RPA bots to automate end-to-end business processes, integrating with corporate systems and ensuring security and compliance.
Build and optimize computer-vision pipelines for robotics, including sensor fusion, model evaluation, and deployment on edge hardware.
Research Fellow develops interpretable AI/ML models for anomaly detection and predictive tasks on pharmaceutical datasets in collaboration with CSL Behring.
Builds and runs benchmarks for large language models and AI agents, then deploys the best-performing models into mining-industry software.
Design and deploy deep-learning perception models for autonomous systems, focusing on computer vision and edge deployment using frameworks like PyTorch or TensorFlow.
Designs and builds generative AI systems using LLMs, agentic architectures, and RAG pipelines, then deploys and monitors them in production.
Senior ML Engineer builds and deploys geospatial AI models on Ray Serve and AWS, turning large datasets into real-time risk scores for insurance applications.
Senior ML Engineer builds and deploys geospatial AI models using Ray Serve and AWS, turning large datasets into real-time services with MLOps best practices.
Builds and maintains AI lifecycle management, data pipelines, and monitoring services in Python on GCP for a live-streaming platform with 450M+ users.
Build and deploy production-grade ML and generative AI models on AWS for fraud, identity, and decisioning products, collaborating with data scientists and engineers to productize solutions.
Build and deploy deep-learning models for 3D vision and robot perception, turning transformer-based research into production-ready grasping and manipulation systems for industrial robots.
Build and scale generative and predictive ML models for cellular behavior using PyTorch and distributed training, bridging research prototypes to production-grade systems in a TechBio company.
Lead AI/ML engineer building end-to-end AI systems, integrating ML models into backend services, and translating business needs into scalable architectures.
Build next-gen generative models of cellular behavior to guide drug discovery, using single-cell multi-omics and ML to predict intervention effects and design experiments.
Build and harden AI agents that resolve customer tickets by planning actions, calling tools, and learning from production data in Python on Kubernetes.
Build, fine-tune, and deploy LLMs and generative AI models; develop NLP algorithms, vector databases, and conversational AI systems for production pipelines.
Build and scale an LLM platform, CI/CD pipelines, and Kubernetes-based infrastructure for ML services, ensuring reliability and real-time model serving.
Build and maintain ML infrastructure, model serving, training pipelines, and observability systems to enable scalable, reliable AI deployments.
Build and operate ML infrastructure, design training/evaluation/deployment systems, and optimize model serving for performance and cost efficiency.
Build and maintain ML infrastructure, including training pipelines, model serving, and evaluation systems, to ensure scalable, low-latency, and cost-efficient AI deployments.
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