Match score not available

Machine Learning Architect

74% Flex
EXTRA PARENTAL LEAVE
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years in ML using SageMaker, Tensorflow, PyTorch, AWS pre-trained AI Services, Experience in data engineering tools like Glue, EMR, Athena.

Key responsabilities:

  • Design and document ML models on AWS
  • Collaborate with cross-functional teams to deliver data solutions
Caylent logo
Caylent Scaleup https://caylent.com/
201 - 500 Employees
See more Caylent offers

Job description

Logo Jobgether

Your missions

 

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
  • Medical Insurance for you and eligible dependents
  • Generous holidays and flexible PTO
  • Competitive phantom equity
  • 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

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.  

 

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Excellent Communication
  • Proactive Mindset
  • Leadership

Go Premium: Access the World's Largest Selection of Remote Jobs!

  • Largest Inventory: Dive into the world's largest remote job inventory. More than half of these opportunities can't be found on standard platforms.
  • Personalized Matches: Our AI-driven algorithms ensure you find job listings perfectly matched to your skills and preferences.
  • Application fast-lane: Discover positions where you rank in the TOP 5% of applicants, and get personally introduced to recruiters with Jobgether.
  • Try out our Premium Benefits with a 7-Day FREE TRIAL.
    No obligations. Cancel anytime.
Upgrade to Premium

Find more Machine Learning Engineer jobs