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Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, model fine-tuning, and real-time microservices using Python, cloud platforms, and MLOps tools.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, fine-tuning, and real-time microservices, using Python, cloud platforms, and MLOps tools.
Lead Data Scientist - AI
Lead a team to design, build, and deploy AI models and agentic systems for wealth-management advisors using Python, PyTorch/TensorFlow, and modern ML ops tooling.
Staff Data/AI Engineer
Build and scale AI/ML systems for banking, including LLM apps, RAG pipelines, and agentic workflows, while ensuring secure, high-quality data pipelines and MLOps automation.
Data/AI Engineer
Build and maintain data pipelines and AI infrastructure at Canada’s largest bank, transforming raw data into clean datasets that power machine learning models and agentic workflows.
Senior Software Engineer, AI Products
Build and ship AI-driven features and LLM-based automation tools using Python, vector DBs, and RAG pipelines on AWS/GCP.
Data/AI Engineer
Design data models and pipelines for AI workloads, implement MLOps automation, and deploy scalable batch/streaming systems to support agentic workflows.
AI Data Python Developer
Build and deploy AI/ML pipelines using Python, FastAPI, and cloud services like GCP to serve vector-based models and microservices.
Analytics Engineer
Build and maintain ML models and analytics pipelines in Python/SQL on GCP, then deploy and monitor them using MLOps practices and tools like Bokeh and Git.
Data Platforms Analyst
Build and maintain data pipelines, models, and segments for National Geographic’s subscription business, using SQL, Python, and cloud warehouses to power marketing and personalization.
Generative AI and Document AI Engineer
Build and deploy generative AI and document AI solutions using LLMs, RAG, and agentic frameworks in Python, then transfer ownership to business teams.
Software Engineer, AI/ML, PhD, Early Career, 2026
Build and optimize large-scale AI/ML systems for Google Cloud, leveraging distributed computing and advanced algorithms to power services like Search and YouTube.
Senior Engineer - Machine Learning
Build and scale generative AI and ML systems for commercial real estate, including Berkadia’s proprietary AI platform Berkie, using Python and cloud infrastructure.
Data Scientist
Build and deploy AI-powered audience analytics for a large-scale media intelligence platform, using Python, PySpark, Databricks, and modern ML/AI techniques.
(AI) Solutions Architect
Designs and deploys production-grade AI systems, including multi-agent workflows and RAG, on GCP while mentoring engineers and enforcing engineering standards.
Manager, Applied AI Engineering, DeepMind
Lead a team to build and ship scalable generative AI applications using Google’s latest models, translating research into real-world products while mentoring engineers.
Software Architect - Machine Learning
Design and lead ML architecture for sports-tech products, building scalable inference pipelines and real-time 3D systems that power immersive fan experiences.
Senior AI/ML Engineer (Exclusive)
Build and deploy production-scale NLP and personalization models that process billions of consumer reviews and UGC, using Python, cloud ML stacks, and LLMs.
Machine Learning Engineer
Build and deploy scalable ML and generative AI solutions for a financial services firm, collaborating with data scientists and engineers to productionize models using cloud-native tools.
Lead AI Engineer - London
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.