Cutting-edge AI, Machine Learning and Cloud Transformation company at the forefront of technological innovation
Nexaminds is a cutting-edge AI and Cloud Transformation company at the forefront of technological innovation. We specialize in developing advanced artificial intelligence solutions that empower businesses to unlock their full potential. With a team of skilled AI and Cloud experts and a passion for revolutionizing industries, we are dedicated to delivering intelligent, scalable, and customized solutions tailored to meet our clients' specific needs. We strive to create innovative AI-driven solutions that enhance efficiency, productivity, and decision-making processes across industries. By leveraging state-of-the-art technology and fostering a culture of creativity, we aim to be the trusted partner that enables organizations to embrace the future with confidence.
Remote · Canada, United States
Lead the design, architecture, and maintenance of enterprise and domain data models to support strategic data transformation. Facilitate cross-functional alignment between business and technical teams to establish unified data structures and governance practices.
Remote · Canada
Design, develop, and maintain scalable data pipelines and models using Microsoft Azure and Databricks. Collaborate with engineering teams to integrate enterprise data sources and optimize data processing workflows for performance and reliability.
Remote · Canada
Design and implement scalable data engineering solutions within the Microsoft Azure and Databricks ecosystem. Provide technical leadership and mentorship to engineering teams while establishing standards for data platform performance and reliability.
Remote · Canada
Translate approved AI architectures into secure, scalable, and production-ready applications using LangChain and LangGraph. Build and deploy LLM-powered assistants, RAG pipelines, and agentic workflows while ensuring operational readiness and performance.
Remote · Canada
You will work directly with customers to design, build, and deploy production-grade AI solutions using LLMs and agentic technologies. Additionally, you will act as a technical owner to translate business requirements into scalable systems while providing feedback to internal product and engineering teams.
