Remote Expert Machine Learning Engineer

Description:

• We seek a passionate Machine Learning Engineer to develop robust solutions to real-world, large scale problems that have a direct impact on the business.
• You should have demonstrable experience in ML Engineering and working in a product model using Scrum.
• As a Machine Learning Engineer, you will be expected to own projects end-to-end, from conception to operationalization, demonstrating an understanding of the full ML model lifecycle.
• You will work with the Artificial Intelligence and Machine Learning (AIML) team for a global retail company, collaborating with teammates in Portland, Boston, China, and Poland.
• Your responsibilities will include designing and implementing scalable applications that leverage predictive models and optimization programs to deliver data-driven decisions that result in significant business impact.
• You will also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development.

Requirements:

• You must have 6+ years of relevant professional experience.
• You should be able to write robust, maintainable, and extendable code in Python.
• Experience with SQL and Spark is required.
• You need knowledge of applied data science methods and machine learning algorithms.
• Data wrangling experience with structured and unstructured data is necessary.
• Experience with cloud architecture and technologies (preferably Amazon Web Services, Kubernetes, Docker, Terraform) and MLOps concepts would be an asset.
• Familiarity with SageMaker, Kubeflow, or Tensorflow Extended is preferred.
• A background in mathematics, statistics, or computer science is essential.
• You should be familiar with principles of solution architecture and technical design.
• Effective communication skills with team members, the business, and in code are required.

Benefits:

• We offer a competitive salary package.
• Flexible working hours are available.
• You will have the opportunity to work from home.
• Training and mentoring programs will be provided.
• There is an ability to advance your technology skills.
• You will work on a variety of projects with cutting-edge technologies at the core.
• Private medical care and life insurance are included in the benefits package.