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Data Scientist
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Senior Machine Learning Engineer, Growth
Senior Machine Learning Engineer at HelloFresh in Toronto builds and scales AI-driven marketing systems, including predictive models, LLM orchestration, and high-throughput data pipelines using Python, PySpark, and cloud platforms.
Senior applied ai engineer - prompting & evaluation
Build and refine AI prompts, evaluation frameworks, and agentic workflows for ERP features, coach engineers across teams, and set scalable AI engineering standards in a global product company.
Applied ai engineer - prompting & evaluation
Build and ship AI features in C# .NET, designing prompts, integrating LLMs, and setting up evaluations for ERP software used by distributors and retailers.
Full stack ai engineer (ai automation, rag and workflow applications)
Build and deploy enterprise-grade AI applications using LLMs, RAG, and workflow automation, integrating with enterprise systems and APIs.
Senior Software Engineer - Platform
Build and operate a serverless execution engine and workflows orchestration layer for industrial AI/data infrastructure, using Kotlin, Python, Kubernetes, and cloud-native stacks.
AI Engineer (Full-Stack)
Build and ship full-stack AI systems using Claude Code, integrating LLMs and automations into production environments while owning backend, frontend, and AI layers end-to-end.
Gen AI Engineer
Build and deploy RAG systems and fine-tune LLMs to generate insights about flexible workspace usage, using Python, cloud MLOps, and vector databases.
Software Engineer
Builds and improves a healthcare practice-management platform, integrating AI features like chat, RAG, and vector search to streamline clinical and admin workflows.
Full Stack Developer (AI-Enabled)
Build and ship full-stack web apps while using AI coding assistants daily and integrating LLM features (RAG, chatbots) with modern stacks like React, Node.js, and cloud services.
AI-Enabled Systems Integration Architect
Design and build AI-enabled applications, including user workflows, APIs, and data integration layers, using Python, LLM APIs, and RAG for model orchestration.
Full Stack AI Engineer
Build and ship enterprise-grade AI apps: full-stack web apps with React/Next.js and Python/FastAPI, integrating LLMs, RAG, and AI agents to automate HR and finance workflows.
Lead AI Engineer
Lead the architecture and delivery of enterprise AI systems using LLMs, RAG, and AI agents, setting engineering standards and mentoring teams to build secure, scalable, and responsible AI solutions.
Machine Learning Operations Engineer
Build and deploy LLM-powered tools, RAG systems, and agentic workflows, then run the Kubernetes-based AI infrastructure that serves them reliably across the company.
Software Engineering Intern – AI Tools for Hardware Engineering
Build AI-powered tools to accelerate hardware design and testing workflows using Python, TypeScript, and vector databases.
AI/ML Engineer
Design and deploy AI-powered solutions using LLMs, RAG, and NLP to build scalable, secure applications and automate business processes.
Applied AI Engineer (Squad Lead)
Lead a team building production-grade AI agents and applications for a regulated fintech platform, from POC to deployment, using modern GenAI and agentic tech.
AI Engineer (Python)
Build and own a production multi-agent AI system that automates research, content, and business workflows using Python, LLM APIs, RAG, and cloud infrastructure.
Data Engineer – AI Solutions – Fintech / Private Markets (Singapore)
Designs and builds scalable data pipelines and infrastructure for AI-driven analytics in a fintech platform serving private markets.