Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
A 4-month student role building predictive models for credit risk at Canadian Tire Bank, focusing on credit limit assignment, marketing promotions, and portfolio management using machine learning and data analysis.
Leads enterprise data strategy, designs scalable pipelines, and implements AI/ML governance for Tyson Foods, focusing on real-time data, cloud platforms, and advanced data engineering.
The Data Scientist III leads the end-to-end development and deployment of production-grade machine learning models for customer intelligence and behavioral prediction. The role involves mentoring team members and collaborating with engineering and MLOps teams to deliver scalable analytical solutions within a financial services environment.
The Data Scientist II will build, validate, and deploy machine learning models for customer intelligence and behavioral prediction within the financial services sector. The role involves collaborating with senior team members and MLOps engineers to deliver production-grade models using Python, SQL, and cloud-based ML platforms.
The Senior AI/ML Engineer will develop and deploy AI agents and LLM-based solutions to automate payment processes and improve anomaly detection within the Global Payments Technology team. The role involves end-to-end model lifecycle management, from data preprocessing to production monitoring.
The Position 2027 Spring Intern - OpRegen Machine Learning Department Summary The OpRegen ML team develops machine learning tools that help us understand the biology behind the OpRegen manufacturing process and give…
Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed…
2027 Spring Intern - OpRegen Machine Learning Department Summary The OpRegen ML team develops machine learning tools that help us understand the biology behind the OpRegen manufacturing process and give our teams…
Design and deploy end-to-end AI/ML solutions on AWS for enterprise customers, from proof-of-concept to production, using cloud-native tools and modern architectures.
Builds and deploys AI/ML systems for lululemon’s retail ecosystem, covering dataset curation, model training, and production monitoring. Focuses on scalable solutions for classification, regression, and generation tasks using cloud platforms and distributed frameworks.
For Canada Applicants: This posting is for an existing vacancy. the company utilizes AI tools to assist in assessing candidates in our hiring processes. Note: By applying to this position you will have an opportunity…
AI/ML Engineer at lululemon designing and implementing end-to-end ML systems across the full model lifecycle—training, deployment, and monitoring—using Python, PyTorch, distributed training frameworks, and cloud ML platforms like SageMaker, Vertex AI, and Azure ML.
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or…
The Enterprise Architect will design and deliver the target IT operating model, setting architecture standards and integration patterns to enable AI-enabled operations and scalable platforms.
12-month placement in Keysight's Software R&D team developing AI/ML-powered software for 5G telecommunications systems using Python, machine learning frameworks, and LLMs.
Designs and maintains cloud-based AI platforms, automating infrastructure, CI/CD pipelines, and MLOps workflows for scalable Generative AI deployments in enterprise environments.
Job Description Our client is seeking a capable intermediate-level Data Engineer with strong MLOps and analytics experience to support the design, optimisation, governance, and monitoring of enterprise data and machine…
Develop and deploy ML models for risk scoring and threat intelligence on a cybersecurity ratings platform, using Python, ML frameworks like scikit-learn/XGBoost/PyTorch, and cloud-based data pipelines.
Senior Data Scientist driving AI and analytics initiatives end-to-end—from data exploration to model deployment—using ML, statistical modeling, SQL, Python, visualization tools, and cloud platforms in Toronto.
Senior ML Engineer building self-service ML platform tooling—model packaging, deployment, CI/CD, and observability—using Python, PyTorch, TensorFlow, Docker, Kubernetes, MLflow, and GitHub Actions at a lottery and sports betting company in Toronto.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
