Careers

QuikCompare is always looking for passionate and exceptional people to grow our company. It has been constantly proven that our associates are our backbone and we strive to provide our associates with a friendly and enthusiastic environment to help them grow their appetite for knowledge.

If you’re interested in joining our team, please send your resume to: jobs@QuikCompare.com

Job Description

At QuikCompare, we are transforming the shopping experience and giving time back to consumers.

Quikcompare is growing and we are searching for a Machine Learning Engineer to join our team! At QuikCompare, we’re using machine learning and analytics to drive our business forward. We’re looking for a machine learning engineer to help deploy our models and build out our modeling platform to improve our product and customer experience.

The data science team builds data driven solutions using machine learning and modeling techniques. Our solutions include predictive models, clustering, segmentation, complex reporting, and quantitative research. We need a Machine Learning Engineer to streamline, automate, and scale these solutions. Our ideal candidate will have experience bringing machine learning models into production environments from beginning to end. As a Machine Learning Engineer at QuikCompare, you will be responsible for making Data Science’s models a reality for our business and customers

What You’ll Gain

You will get experience working with a cross-disciplinary team shipping real-world products to our customers around the nation. You will also receive hands-on mentorship from your friendly teammates on topics ranging from design to career advice

Your Responsibilities

  • Design, deploy and maintain a cloud infrastructure system for the scheduling and deployment of Data Science’s analytic and machine learning jobs
  • Collaborate with DevOps and Cloud Infrastructure teams to build machine learning deployment pipelines
  • Collaborate with Engineering and Product teams to implement machine learning interfaces
  • Help Data Science deliver models into production from beginning to end through scalable endpoints for ease of service integration
  • Build actionable monitoring and alerting systems
  • Develop a thorough understanding of our data and interpret them as they relate to shopper behavior, search performance, profitability, and product development
  • Collaborate with other members of the Data Science and Data Engineering teams on ways to approach problems, augment code, and share new techniques

Requirements

  • At least 2 years of experience building data and machine learning pipelines to the cloud and/or real-time customer facing solutions
  • Experience with Docker, Git, AWS (or similar cloud technology), and the automated provisioning of infrastructure
  • Familiarity with R or Python and SQL
  • Fluent in machine learning tools (scikit-learn, Tensorflow, PyTorch, etc.)
  • Ability to design docker-based machine learning services/wrappers to serve model results through APIs

Nice to Haves

  • Experience implementing services in Kubernetes
  • Experience with data platform tools like Airflow
  • Experience in e-commerce
  • Familiarity with deploying machine learning in search engines such ElasticSearch or Solr
  • Experience deploying machine learning solutions in Golang(Go)

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description:

At QuikCompare, the Information Technology Software Engineer oversees application development, modification, and maintenance of applications. This position monitors system applications, ensures systems run smoothly, and creates reports and other documentation outlining findings/solutions.

Primary Responsibilities

  • Oversees development and installation of new hardware and software
  • Installs and configures systems and other software
  • Tests installed software for malfunction detection
  • Identifies and resolves business systems issues
  • Designs and deploys new applications and enhancements to existing applications, software, and operation systems
  • Measures effectiveness and efficiency of existing systems
  • Develops and implements strategies to improve systems
  • Monitors and tests system performance
  • Performs work with some independence of thought, but refers more complex problems to senior associates or supervisor/manager

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

Requirements

  • Bachelor’s degree in a related field
  • Three (3) years of experience

Skills and Competencies

  • Strong executional capabilities

Position Type

Full time

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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