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Builds and deploys ML models and big-data pipelines to extract insights from customer and transaction data, enabling smarter decisions and improved experiences for a major bank.
Build predictive maintenance and fleet-optimization models from mining-equipment sensor data using Python, ML, and time-series techniques; create dashboards to guide operational decisions.
Build production-ready GenAI systems using Python, React, and AWS, including LLM pipelines, RAG, and agent-based architectures for scalable AI products.
Lead the design and delivery of responsible agentic AI systems for a digital bank, embedding fairness, safety, and regulatory compliance into production LLM-powered applications and platforms.
Build and scale a machine-learning platform that accelerates drug discovery, enabling the full ML lifecycle from development through deployment.
Build and maintain a regulated SaaS platform for clinical trials using Python/FastAPI or Django and React/TypeScript, ensuring compliance with GxP and HIPAA standards.
Teach data science and Azure AI concepts to learners, mentor students, and manage blended learning programs using Python, SQL, and ML tools.
Build and refine AI models for mineral exploration using Python, PyTorch, and agentic systems to process geological data and support sustainable resource discovery.
Build and maintain ETL pipelines, automate reporting, and optimize SQL queries using Python, pandas, and Airflow for a hybrid role in Melbourne.
Builds and refines statistical and time-series models to forecast U.S. passport demand for a federal agency, using Python, econometrics, and AWS serverless tools.
Build and scale a platform to deliver machine-learning model results for chemical datasets, collaborating with ML engineers on backend services, APIs, and full-stack development.
Build and maintain data pipelines, REST APIs, and automation scripts in Python for clients across LATAM and the U.S., using SQL, Flask/FastAPI, and cloud data tools.
About the Role Join the Vegetation Modeling team at a mission-driven climate-tech company that uses AI and advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation…
Build and deploy ML models to classify and extract data from real estate financial reports, then maintain the ETL pipelines that normalize this data for analytics at scale.
Build and deploy data-science models and analytics pipelines for R&D projects, using Python/SQL and cloud/big-data tools to drive insights and scalable solutions.
Build and deploy enterprise-grade AI agents and RAG systems for Fortune 500 customers using Snowpark, Cortex, and native LLM capabilities, owning the full lifecycle from prototype to production.
Lead AI engagements for Fortune 500 customers, designing and deploying agentic workflows and RAG systems while mentoring a small team of engineers to productionize scalable, high-quality AI solutions.
Build and optimize generative AI systems, focusing on RAG pipelines, LLM evaluation, and enterprise-scale deployments to improve retrieval quality and reduce hallucinations.
Build and optimize AI/ML models for sanctions screening in Visa’s AML/CFT compliance pipeline, using fuzzy matching, NLP, and global sanctions data to detect financial crime.
Build and deploy ML models that optimize hotel pricing using forecasting, reinforcement learning, and experimentation systems, turning data into revenue decisions.
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