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Machine Learning Architect

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years of hands-on ML experience, Proficient in AWS SageMaker and related tools, Experience with TensorFlow and PyTorch, Data engineering skills using Python and SQL, Familiar with CI/CD and IaC tools.

Key responsabilities:

  • Build and deploy ML models using SageMaker
  • Integrate ML models into applications
  • Optimize model performance and automate tasks
  • Perform data integration and transformation
  • Contribute to international projects and collaboration
Oowlish logo
Oowlish Scaleup https://www.oowlish.com/
51 - 200 Employees
See more Oowlish offers

Job description

Logo Jobgether

Your missions

Join Our Team

Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

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

  • Benefits & Perks:

    Home office;
    Flexible Hours
    Competitive compensation based on experience;
    Career plans to allow for extensive growth in the company;
    International Projects;
    Oowlish English Program (Technical and Conversational);
    Oowlish Fitness with Total Pass;
    Connecting You (Internet allowance);
    Anniversary bonus;
    Wedding gift;
    Pet adoption incentive;
    New baby Oowl bonus;
    Back to School bonus;
    Streaming Subscription;
    PTO Bonus;
    Games and Competitions;
    Enjoy your national Holidays.

    You can also apply here:

    Website: https://www.oowlish.com/work-with-us/
    LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
    Instagram: https://www.instagram.com/oowlishtechnology/

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    Required profile

    Experience

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

    Soft Skills

    • Collaboration
    • Problem Solving
    • Verbal Communication Skills

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