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Machine Learning Engineer

Oowlish Technology logo

Location
Guatemala
Oowlish Technology

Job Description

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 3 years of hands on experience in at least a few of these ML tools/techniques:
  • Build ML models in 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 etc.
  • AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etc.
  • Experience with an IaC tool such as CloudFormation, CDK or Terraform
  • 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/

Advice from our career coach

I have come across an exciting opportunity at Oowlish, a rapidly expanding software development company, seeking experienced technology professionals to join their team. To stand out as an applicant for this role, here are some insights and tips:

  • Highlight your hands-on experience in ML tools such as SageMaker, Tensorflow, and PyTorch, emphasizing your ability to build and optimize models.
  • Showcase your proficiency in data engineering tools like Python packages, SQL, and AWS services such as Glue, EMR, and DynamoDB.
  • Demonstrate your expertise in integrating ML models into real-time applications and batch workflows, along with experience in monitoring and improving model performance using MLOps tools.
  • Highlight your excellent written and verbal communication skills, essential for remote collaboration with international clients.
  • Emphasize any experience with Infrastructure as Code (IaC) tools like CloudFormation, CDK, or Terraform, showcasing your ability to recommend better infrastructure design and optimization.
  • Make sure to check out the benefits and perks offered by Oowlish, including flexible hours, competitive compensation, career growth opportunities, and unique programs like Oowlish Fitness and the Oowlish English Program.
  • Apply directly through their website, LinkedIn, or Instagram to demonstrate your eagerness to join their team.

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