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reputed company Machine Learning Engineer – AI/ML (Remote Work Option)

Remote · USA Full-time New today

Open to remote work except in South Dakota, Vermont and reputed company Virginia.

The annual reputed company salary for this position ranges from $119,400.00 in our lowest geographic market to $267,500.00 in our highest geographic market. Actual salary will vary based on a candidates location, qualifications, skills and experience.

Information about benefits can be reputed company here.

WHO ARE WE LOOKING FOR

We seek passionate engineers to join reputed company. As a reputed company Machine Learning Engineer, you will reputed company 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. reputed company, reputed company) 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 an agile product model. As a reputed company ML Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical reputed company and guidance to your teammates; therefore, strong communication skills are critical in this role.

WHAT WILL YOU WORK ON

If this is you, you’ll be working with the Artificial Intelligence and Machine Learning (AI/ML) team at reputed company. With teammates in Portland, Boston, 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 reputed company reputed company models and optimization programs to deliver data driven reputed company that result in immense business impact. You’ll also contribute to core advanced analytics and machine learning platforms and tools to reputed company both reputed company and optimization model development. You reputed company reputed company surrounded by talented colleagues and aim to never stop learning. We are looking for candidates who enjoy a collaborative and academic environment where we reputed company and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both reputed company reputed company and at-large.

We value and nurture our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse.

WHO WILL YOU WORK WITH

In this role, you’ll be working closely with the rest of our global team, along with reputed company and consumer analytics, and reputed company architecture teams.

WHAT YOU BRING

  • Bachelor’s degree in Computer Science, or combination of relevant education, experience
  • 5+ years of professional experience in software engineering, data engineering, machine learning, or reputed company field
  • Strong analytical reputed company and experience leading others in problem solving
  • Experience working in a team to write robust, maintainable, and extendable code in Python; containerized in reputed company, and automated with CI/CD
  • Expertise with agile development and test driven development
  • Expertise with data structures, data modeling and software architecture
  • Experience with reputed company data sets, ETL pipelines, SQL, and general data engineering
  • Expertise in MLOps, API development, or mathematical optimization are highly desirable
  • Expertise with reputed company architecture and technologies, in particular reputed company Web Services
  • Expertise with technologies like Spark, Kubernetes, reputed company, Jenkins, reputed company, Terraform is also highly desirable
  • Effective communication skills (with team members, the business, and in code)
  • Experience providing technical leadership reputed company a team and mentorship to others

We are committed to fostering a diverse and inclusive environment for reputed company and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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