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Leads AI security engineering for Lloyds Bank, designing secure patterns, controls, and tooling to protect AI/ML systems while enabling innovation in generative AI and automation.
The ML Ops & LLM Ops Engineer will design and manage deployment architectures for AI solutions on AWS, focusing on CI/CD, infrastructure as code, and production-grade LLM/agentic application scaling. This role involves working as a forward-deployed engineer within enterprise client environments to ensure secure, observable, and efficient AI service delivery.
The Senior Data Scientist will build and maintain predictive models to optimize rental rates and analyze revenue performance using Python, SQL, and statistical techniques. The role involves partnering with cross-functional teams to deploy machine learning solutions and communicate findings to stakeholders.
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your…
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
Build self-service ML platform tooling and golden paths from the ground up, enabling Data Scientists to independently deploy models to production across batch and real-time use cases using Python, PyTorch, TensorFlow, Kubernetes, and MLflow.
Senior Data Scientist building end-to-end production decision systems—forecasting, optimization, pricing, and batch/real-time recommendations—using Python, PyTorch/TensorFlow, and SQL at a lottery and sports-betting company in Toronto.
Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Senior Staff Software Engineer on LinkedIn's AI Infrastructure team, responsible for designing and optimizing large-scale distributed training and serving systems for AI models (e.g., LLMs, recommendation engines), using frameworks like PyTorch, TensorFlow, Horovod, and DeepSpeed to scale up to hundreds of billions of parameters and high-throughput GPU inference.
Remote AI Engineer leading end-to-end AI/ML projects with Python, deep learning, NLP/LLMs, and MLOps, requiring active IRS MBI clearance.
Builds software platforms for robotic motion AI simulation and ML, translating research requirements into scalable systems for synthetic data generation, experiment pipelines, and GPU-enabled environments.
Own the end-to-end AI/ML evaluation infrastructure for a regulated health platform: design judges, scorers, and statistical gates to ensure models are safe and effective before reaching patients.
This role involves designing and evolving modern data and AI platforms, focusing on Generative AI and MLOps, with responsibilities including architectural support, designing scalable solutions, and collaborating with cross-functional teams.
Works as an AWS Solutions Architect on AI implementation projects, designing end-to-end architectures using AWS AI/ML services (Bedrock, SageMaker) and guiding engineering teams to turn client AI strategies into production cloud solutions.
A Senior Data/AI Engineer at Guidepoint builds scalable Generative AI systems, including LLM applications and RAG pipelines, using Databricks and AKS, focusing on MLOps, responsible AI, and leading the Toronto-based AI team.
Data Engineer to work onsite in Springfield, VA supporting a government contract, focusing on data ingestion, pipeline development, cloud deployment, database architecture, streaming data processing, workflow orchestration, and AI/ML integration using Python, AWS/Azure, Kafka, Airflow, and various database technologies.
Embed data quality and Responsible AI controls into enterprise pipelines, models, and workflows to ensure governed, traceable, and audit-ready data for AI use cases.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
Builds scalable cloud-based data pipelines and architectures for Cencosud’s e-commerce platform, focusing on AWS, Python, and Airflow to process and warehouse data.
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