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Software Engineer (Latin America)

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience in machine learning development., Proficient in building application pipelines., Knowledge of cloud deployment practices., Strong background in data science., Familiarity with Agile methodologies..

Key responsabilities:

  • Collaborate to develop custom ML solutions.
  • Build machine learning and data pipelines.
  • Embed algorithms in cloud applications.
  • Identify improvement opportunities during projects.
  • Work in a remote, Agile-like setting.
Strong Analytics logo
Strong Analytics Research Startup https://www.strong.io/
11 - 50 Employees
See more Strong Analytics offers

Job description

Strong Analytics, a OneSix Company, is seeking Machine Learning Engineers to help design and develop machine-learning based applications for clients ranging from startups to Fortune 500s. As an ML Engineer, you will lead the development and integration of machine learning and AI based software solutions in collaboration with ML Scientists and our clients. Engineers are core contributors at Strong, with responsibilities such as building and managing application pipelines, embedding statistical algorithms in robust software applications, and deploying ML applications to the cloud.


At Strong, a OneSix Company, your work will have an immediate impact on clients addressing real world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. We pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying data science and machine learning to real -world problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture.

Responsibilities

  • Work with machine learning scientists and other engineers to develop custom ML solutions for a variety of industries and use cases

  • Build machine learning pipelines from ideation up through prototyping, development, and deployment

  • Build data pipelines which can ingest, transform, and export data

  • Embed statistical algorithms and machine learning models in cloud-based applications

  • Help identify areas of opportunity and improvement within projects

  • Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)

We offer a comprehensive compensation package, including:

  • Competitive salary

  • 100%-covered Health insurance for employees, 75%-covered dependents

  • Four weeks PTO

  • 401(k) with employer contribution matching

  • Personalized monthly perks with matched charitable donations

  • A 100% remote work environment with highly protected work/life balance

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Research
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration

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