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Builds robust, structured data foundations for AI applications by analyzing landscapes, integrating unstructured sources, and setting up data infrastructure using Python, SQL, and ETL.
Builds data pipelines and microservices to integrate enterprise systems for GenAI agents, ensuring scalable, ethical AI experiences for clients and internal teams.
Design and build cloud-native Azure data pipelines and AI integrations for a global enterprise, using Data Factory, Python, and Azure AI Search to power a multi-model AI engine.
Designs, builds, and troubleshoots GCP and Dataiku data pipelines while mentoring junior engineers.
Builds GenAI data pipelines, agents, and microservices to feed and sync with large-language models, using Python, FastAPI, and cloud tools like GCP and Azure.
Build and maintain production-grade AI systems for document processing and retrieval-augmented generation in a global marketing-tech stack.
Designs and builds data pipelines and GenAI solutions using Python to solve complex client problems in a fast-growing AI team.
Designs and implements AI/ML solutions, including LLM and data pipelines, to optimize HR processes and build proofs-of-concept.
Lead a team building and maintaining data pipelines and AI models on GCP to turn raw data into business insights for clients.
Lead data pipeline design and maintenance for clients, using Python, SQL, and GCP to deliver analytics and AI solutions in a collaborative agency setting.
Lead AI Engineer designs and builds AI applications like chatbots and workflows, manages data pipelines, and optimizes AI performance for clients.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Build and optimize scalable data pipelines for B2B SaaS, productionizing LLM-based features and collaborating with product teams.
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 and deploy production-grade AI agents that automate commercial workflows (sales, CS, ops) using LLMs, data pipelines, and enterprise integrations while enforcing security and governance constraints.
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 production-grade AI systems using LLMs, RAG, and agent workflows, integrating them into enterprise systems while ensuring scalability, security, and measurable business impact.
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 maintain scalable backend services for TrendAI Vision One using Go/Python, cloud-native tools, and AI-assisted development to enhance cybersecurity products.
Research fellow role in generative AI and ML systems, building models with PyTorch/TensorFlow on AWS and MLOps tools like Docker and Langchain.
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