Machine Learning Architect
CANADA
Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between. At Caylent, our people always come first.
We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!
The Mission
At Caylent, a Machine Learning Architect works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers. We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference. You will also have a weekly 1:1 with your manager to help guide you in your career and make the most of your time at Caylent.
Your Assignment
- 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
Your Qualifications
- 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 skills3
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
Base Salary Range: The expected base salary range for this position is CAD $152,000 - $171,000 per year, commensurate with experience and qualifications.
Additional Compensation Components: In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance.
Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.
We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.com.
ApplyJob Profile
Fully remote
Benefits/Perks100% premium coverage 100% remote work Additional Compensation Components Annual Stipend Annual stipend for learning Annual stipend for Learning and Development Base salary range Competitive phantom equity Equipment & Office Stipend Equitable life plan Fully remote Laptop and tools Office stipend Paid holidays Parental leave Phantom equity Professional development Professional development stipend Remote work Sick Leave State of the art laptop State of the art laptop and tools Unlimited vacations
Tasks- Address technical issues
- Design machine learning solutions
- Document ML models
- Integrate ML models
- Lead engineers
- Optimize model performance
- Participate in standup meetings
- Write code
AI Amazon Web Services Analytics Application Development Athena AWS CDK CI/CD CI/CD Tools Cloud CloudFormation Cloud native Cloud Native Application Development Communication Compliance Data engineering DevOps DynamoDB EKS EMR Glue IaC Learning and development Machine Learning Migrations MLOps Modernization PySpark Python PyTorch Sagemaker Security SQL Step Functions TensorFlow Terraform Verbal communication Visualization Workload Migrations
Experience5 years
Certifications TimezonesAmerica/Edmonton America/Moncton America/Regina America/St_Johns America/Toronto America/Vancouver UTC-3 UTC-4 UTC-5 UTC-6 UTC-7 UTC-8