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Build and deploy mathematical/statistical models and ML systems to optimize defense and space-domain operations using Python and data-science libraries.
Analyze intercepted electronic signals to produce actionable intelligence for national security, using SIGINT tools and AI/ML pipelines to process and validate data.
Principal Data Platform Architect designs and presents Snowflake’s cloud data platform to enterprises, guiding architecture decisions and POCs while bridging business and technical needs.
Builds and maintains data pipelines, databases, and analytical frameworks to extract, clean, and transform healthcare claims data, enabling policy and operational insights for state-level healthcare improvement initiatives.
Rebuilds and modernizes data pipelines using Microsoft Fabric, focusing on ingestion, validation, and transformations to transition ownership to IT and eliminate manual processes.
The Staff Data Scientist will lead projects and mentor junior staff while building complex statistical models and production-ready code to support global security initiatives. The role utilizes Python, Spark, and advanced statistical techniques to solve ambiguous problems within a financial services environment.
About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most…
This role involves building predictive models and data pipelines within the Microsoft Fabric platform to integrate external market data with internal real estate datasets. The Data Scientist/Engineer will manage the full data lifecycle, from ingestion and transformation to MLOps and insight generation for business stakeholders.
This role is for a founding forward deployed engineer to build and deploy AI-powered operational platforms for pharmaceutical and manufacturing clients. The position involves writing production code in customer environments, configuring LLM pipelines, and bridging the gap between customer needs and core product development.
The Head of IT and Information Security will build and manage the internal infrastructure, cybersecurity posture, and compliance frameworks for a seed-stage AI startup. This role involves overseeing IT operations, vendor management, and security audits to support the company's rapid growth.
The Manager, AI Engineer leads a team in developing scalable Gen AI solutions, including LLM pipelines and RAG architectures, using Python, React, and AWS. This role involves hands-on technical leadership, mentoring engineers, and driving the organization's AI roadmap.
Builds and maintains cloud-based data pipelines and lakehouse architectures using Databricks, AWS, and Informatica to ingest, transform, and model structured/unstructured data for analytics and reporting.
The Senior Software Developer will design, develop, and maintain data pipelines and transformation procedures using Python and AWS services. This role involves working with both structured and unstructured data, utilizing tools like Informatica IDMC, and mentoring junior team members.
This senior machine learning engineer role involves designing, developing, and testing machine learning and deep learning systems, with a specific focus on NLP and BERT models. The position is a one-year onsite contract based in Toronto.
The Senior Machine Learning Engineer will develop and optimize NLP models, specifically focusing on BERT and transformer-based architectures, using Python and deep learning frameworks like TensorFlow or PyTorch. This is a hybrid contract role based in Toronto requiring expertise in model fine-tuning and data preprocessing.
The Data Engineer will build and maintain robust batch and stream data pipelines to support AI/ML research and production workflows. The role involves managing data quality, lineage, and MLOps tools like DVC and MLflow while collaborating with cross-functional teams.
The AI/ML Engineer will design, train, and deploy AI models, including LLMs, to support healthcare applications. The role involves building MLOps pipelines, optimizing model performance, and collaborating with cross-functional teams to transition research into production.
Senior ML engineer builds and trains NLP models (e.g., BERT) using Python and deep-learning frameworks to solve text-classification and language-understanding tasks.
Design and develop scalable Python modules for trading systems in fintech, integrating via Kafka, deploying on OpenShift through CI/CD, and providing first-line application support for trading desks and back-office operations.
Senior Data Scientist at an HR tech company in Bangkok, building and maintaining core features like CV parsing, candidate recommendation engines, and social media enrichment using Python, NLP, and machine learning on AWS.
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