Caylent is hiring a
Machine Learning Architect in Canada

Summary

The job is for a Machine Learning Architect at Caylent, a remote global AWS services company. The role involves designing ML solutions, participating in daily standups, leading engineers, and having weekly 1:1s with the manager. Qualifications include hands-on experience in various ML tools/techniques, data engineering tools/techniques, excellent communication skills, and experience with IaC, CI/CD tools.

Requirements

• At least 5 years of hands on experience in most of these ML tools/techniques
• 2 to 3 out of 5 years using SageMaker
• Build ML models in frameworks like Tensorflow & PyTorch and deploy in SageMaker
• Train and deploy AWS pre-trained AI Services and Foundational Models
• Build and optimize models using feature definition, activation functions, hyperparameter tuning and other techniques
• Integrate ML models into real-time applications and batch workflows, recommend better infrastructure design and optimization
• Monitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOps
• Hands on experience in these data engineering tools/techniques
• Data integration, cleansing, transformation, and visualization using Python packages, SQL, PySpark etc
• AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etc
• Experience with an IaC tool such as CloudFormation, CDK or Terraform
• Experience with CI/CD tools
• Excellent written and verbal communication skills

Responsibilities

• Work with a team to deliver top-quality data solutions on AWS for customers
• Participate in daily standup meetings and address technical issues
• Design and document ML models, MLOps, and analytics
• Be able to write code whenever needed and possible
• Lead and help engineers without any direct supervision

Benefits

• 100% remote work
• Equitable Life - Hybrid Plan
• 100% Premium Coverage for the employee and dependents
• Competitive phantom equity
• Long-Term Disability
• 4% Pension match (employer contribution)
• Unlimited Vacations
• Sick Leave
• Paid Holidays
• Parental Leave
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture