ABOUT US:
[Fornecer informações sobre a empresa, cultura, dados importantes]

WHAT YOU´LL DO:
[atribuições da pessoa candidata]

WHAT YOU´LL NEED:
[requisitos imprescindíveis]

MORE ABOUT YOU:
[Soft Skills importantes para a posição]

WHAT WE OFFER:
[benefícios da empresa]"}" data-sheets-userformat="{"2":33559425,"3":{"1":0},"10":2,"11":4,"12":0,"15":"Poppins","28":1}">Share People Hub, in partnership with global company, is searching for a Machine Learning Engineer, for a Remote role.

What you?ll do:

Architect and orchestrate the implementation of the company?s AI Mission, Vision, and ML Strategy. 
Own technical end-to-end delivery of ML pipelines from architecture to production scaling.
Create a culture of empathy and psychological safety that encourages those you collaborate with to be owners of the solutions you own.
Spearhead a diagram-based approach to articulating planned green-field and brown-field development to ensure unambiguous communication of your planned endeavors.
Manage product resourcing allocation to meet deadlines. 

What you?ll need:

Bachelor?s degree in computer science, engineering, mathematics, or any quantitative field. 

Relevant experience with Machine Learning Platform Architecture;

Systems Thinking and Software Design Patterns;

Experience with Python, PySpark, DataDog, Terraform, API Management, GitHub Workflows, Docker and Test Driven Development;

Knowledge with Front End technology frameworks, Software Development Lifecycle, Bash,  Software System Integration and Software Refactoring Techniques;

Experience with solution runtime efficiency optimizations.

This position is exclusively for people with disabilities (PWD)

Our client prides itself on being an equal opportunity and affirmative action employer. We do not discriminate based on race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected characteristics.

Please remember: Your data will never be used as a criterion for elimination in the selection process. With this information, the company can analyze diversity and reduce biases in the selection process. We want to help change this reality by being an inclusive company.