Senior Cloud Machine Learning Architect

Caylent · Remote

Company

Caylent

Location

Remote

Type

Full Time

Job Description


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.Β 

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!

About the Job

At Caylent, a Senior Cloud 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.Β  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.Β  You will decompose business goals into architectures that can meet those goals, and guide engineers in their hands-on implementation work.

You will participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer.Β  Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent.

Responsibilities
  • Work with a team to deliver machine learning solutions on AWS for customers
  • Participate in daily standup meetings and in bi-weekly agile ceremonies
  • Design and document ML models and data flows on AWS
  • Preparation of training data for models
Requirements
  • Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
  • Expert-level understanding of Amazon Sagemaker and ML libraries such as Tensorflow, MXNet, PyTorch or Scikit-learn
  • Strong Understanding of fundamental ML concepts such as feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functions
  • Familiarity with MLOps tools such as MLflow, Neptune or Comet is a plus
  • Excellent written and verbal communication skills
Benefits
  • 100% remote work, either from home or in a shared workspace
  • 401k with 4% company match
  • Medical, dental, vision and life insurance benefits with company paying up to 75% premiums
  • Generous holidays and unlimited flexible PTO
  • Paid for exams and certifications
  • Peer bonus awards
  • State of the art laptop and tools
  • Individual professional development plan
  • Work with an amazing worldwide team and in an incredible corporate culture

The base salary range for this position is $140,000Β -Β $170,000. If you are hired at Caylent, your base salary is determined on factors such as skills, experience, geographic location, and other market conditions.β€―While it's not typical for offers to be made at the top of the range, please keep in mind that the base salary range is only one component of your overall compensation. Additionally, you are eligible for the benefits, bonuses, and incentives as listed above in the job description!

NOTE: We are unable to provide sponsorship for this position.

Caylent is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws. All employment decisions are based on business needs, job requirements, merit, and individual qualifications.

Apply Now

Date Posted

08/25/2023

Views

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