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Build and deploy large language models and deep-learning systems to power search, recommendations, and personalization for Instacart’s grocery marketplace.
Build and deploy AI models using Python and frameworks like PyTorch/TensorFlow to power real-world products, collaborating with engineers in a fully remote setting.
Build and scale production-grade ML pipelines for medical image analysis, deploying models with Kubernetes and MLOps tools like MLflow while collaborating with data scientists and engineers.
Lead the design and deployment of generative AI and agentic AI systems for healthcare, including LLMs, RAG, and AI agents, while ensuring responsible, scalable, and compliant solutions.
Build and evaluate open-weight AI models for Canada’s sovereign stack: quantization evals, dataset pipelines, and inference benchmarks in a hybrid Victoria office.
Build AI-driven automation for semiconductor package design, optimizing routing, placement, and verification to accelerate next-gen chip packaging workflows.
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 AI-native workflows and agent systems that integrate LLMs, memory, and tools into production-grade features using Next.js, Python, and Node.js.
Build and deploy real-time computer-vision models for a neural-interface medical device that translates brain intent into action, optimizing models for wearable hardware and clinical readiness.
Build and scale ML-driven dispute optimization systems, including training pipelines, feature stores, and real-time data processing for Checkout.com’s fintech platform.
Build and fine-tune open-source LLMs for safety and customer-care agents using SFT, LoRA, and RLHF; design agentic workflows in LangGraph and ship production-grade AI systems handling millions of interactions.
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.
Lead a team of data scientists to build ML models that classify and sort recycled plastics in real time using spectral sensor data and deep learning.
Consultant builds AI/ML models and data pipelines for clients, using Python, SQL, and frameworks like TensorFlow/PyTorch to turn messy data into actionable insights.
Senior ML/Computer Vision scientist building 4D Vision™ systems for industrial robots, using PyTorch and AWS to deploy real-time perception models on factory floors.
Intern DevOps Engineer on the Data Science team maintaining and scaling ML infrastructure on GCP, using Docker, Kubernetes, and MLOps tools to serve 350B daily requests.
Research fellow role in generative AI and ML systems, building models with PyTorch/TensorFlow on AWS and MLOps tools like Docker and Langchain.
Architect and deliver robotics perception systems for enterprise clients, integrating sensor fusion, computer vision, and real-time AI pipelines across edge and cloud environments.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
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