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At Acxiom, our vision is to transform data into value for everyone. Our data services enable marketers to recognize, better understand, and deliver highly applicable messages to consumers across any available channel.…
Essential Job Functions and Responsibilities: (Knowledge, skills, and behaviors required for this position.) Deliver professional advice, expertise, strategic insight, and other cyber-related consulting services to…
Design, optimize, and debug large-scale distributed GPU training systems for multimodal foundation world models, focusing on numerical precision, fault diagnostics, and performance profiling across PyTorch, CUDA, and distributed training frameworks.
Designs and deploys AI/ML solutions (LLMs, Agentic AI) in cloud environments, collaborating with cross-functional teams to build scalable AI products.
Design, deploy, and optimize large-scale bare-metal GPU clusters (Slurm, Kubernetes) for distributed training of multimodal foundation models at a Physical AI startup.
This role involves building and scaling a healthcare 'Care Enablement Platform' using a full-stack JavaScript/TypeScript stack including Angular, React, and AWS serverless technologies. Engineers work in a flat, technical team to rapidly ship features that automate clinical workflows and improve patient care.
As a Senior Data Scientist, you will develop advanced predictive models for insurance risk and extract insights from large datasets. Core technologies include Python, SQL, and distributed data platforms like Spark.
This role involves applying and researching deep learning models for mining operations, including training neural networks and building data pipelines. The engineer will work with PyTorch and various cloud technologies while communicating technical findings to non-technical stakeholders.
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.
Senior Deep Learning Engineer designing, training, and deploying perception models for ADAS systems on embedded automotive SoCs using Python and PyTorch/TensorFlow.
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.
Wizpresso is hiring a Junior Machine Learning Operations Engineer to build and maintain scalable infrastructure for deploying NLP and deep learning models into production. The role involves managing CI/CD pipelines, monitoring system performance, and collaborating with cross-functional teams to support financial technology solutions.
Wizpresso is seeking a full-stack software engineer to design and develop enterprise SaaS applications using C#, ASP.NET Core, Python, and web technologies. The role involves collaborating on system architecture, UI/UX design, and integrating AI-driven features to improve financial market workflows.
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 Generative AI Expert will lead the AI strategy and development for a large-scale corporate services organization in Dhahran, Saudi Arabia. The role involves designing and deploying generative AI and LLM-based solutions to improve business performance across diverse departments.
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.
Builds high-performance software for automated computer vision systems, focusing on image processing, algorithm optimization, and real-time multi-threaded applications for inspection and automation.
Senior Data Scientist developing and deploying ML/DL models using Python, TensorFlow, PyTorch, and Spark, with Cloud MLOps experience on Azure/AWS/GCP and technical leadership duties.
Architect, train, and deploy ML models and GenAI applications for predictive maintenance, anomaly detection, and manufacturing process optimization, integrating with IoT/MES systems.
Senior Data Scientist specializing in ML and Cloud MLOps, building predictive/deep learning models, deploying cloud-based pipelines, and mentoring teams for a Spanish multinational client.
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