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Sr Software Engineer

BizTek People

United States

Remote

USD 100,000 - 150,000

Full time

8 days ago

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Job summary

BizTek People is seeking a passionate Senior Software Engineer for a remote position to develop advanced analytics and machine learning solutions. You'll work with a global team, crafting scalable applications that drive significant business impact. If you thrive in collaborative environments and have a strong background in Python and cloud technologies, this role is for you.

Qualifications

  • 5+ years of professional experience in software engineering, data engineering, or machine learning.
  • Effective communication skills with team members and stakeholders.
  • Experience with agile and test-driven development.

Responsibilities

  • Develop advanced analytics and machine learning solutions impacting business.
  • Design scalable applications leveraging prediction models.
  • Collaborate globally with teams on machine learning problems.

Skills

Python
Problem Solving
Analytical Mindset
Cloud Architecture
Agile Development

Education

Undergraduate degree in Computer Science

Tools

AWS
Spark
Kubernetes
Docker
Jenkins
Hive
Terraform

Job description

    Req#: CTPbedjwH6MELoKEIi2LfYqqS4p5fG41AuDZhQpv2CY-

    This is a remote position.

    WHO ARE WE LOOKING FOR

    We are seeking passionate Senior Software Engineers to join our team. As a Senior Software Engineer, you will develop robust advanced analytics and machine learning solutions that have a direct impact on the business. You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g., Postgres, Redis) and data processing technology (e.g., EMR). You should also have a demonstrable history of team leadership and value delivery and be comfortable working in a product model using Scrum.

    WHAT WILL YOU WORK ON

    If this is you, you’ll be working with the Advanced Analytics and Machine Learning (AAML). With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within our and at-large.

    WHO WILL YOU WORK WITH

    In this role, you’ll be working closely with the rest of our global team, along with Commercial and Consumer Analytics, Enterprise Architecture, and Solution Architecture. This role reports to the Director of Engineering on the AAML team.


    Requirements
    WHAT YOU BRING

    · Undergraduate degree in Computer Science, or equivalent experience

    · 5+ years of professional experience in software engineering, data engineering, machine learning, or related field

    · Strong problem solving and analytical mindset.

    · Ability to write robust, maintainable, and extendable code in Python.

    · Experience with cloud architecture and technologies, in particular Amazon Web Services

    · Experience with technologies like Spark, Kubernetes, Docker, Jenkins, Hive, terraform is highly desirable.

    · Experience with agile development and test-driven development

    · Understanding of data structures, data modeling and software architecture

    · Effective communication skills (with team members, the business, and in code)


About the company
Notice

Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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