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Remote Machine Learning Engineer (Python, AWS)

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Kitchener, ON Remote Available
Full-time $80k - $100k
Posted 03/29/2021
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Headquartered in Ontario, Canada, we are a global provider of smart water infrastructure and simulation software for governments, consultants, municipalities, and utility providers - a $1B+ annual market opportunity in the US alone! We are building our entire platform on AWS using the latest components available such as SageMaker, Lambda, S3, RDS, EventBridge, Fargate, and more!

What You Will Be Doing

We are looking for an ML Engineer to help design, develop, deploy and support AI & ML solutions by developing models, optimizing solutions, and engineering data and software.
- Design ML& AI solutions based on business requirements
- Build ML applications and solutions using AWS technologies
- Build ML models using Python frameworks and best practices

What You Need for this Position

- BS/MS in Computer Science, Data Science, Mathematics, Statistics or related
- 3+ years of relevant Machine Learning, Data Science and/or Software Development
- Experience with optimization, classification and clustering
- Python Data Science Libraries (Numpy/Pandas/Scipy/Tensorflow/Pytorch/Scikit-learn)
- Python/Java/Scala/R
- End-to-End Modeling (Data Analysis/Data Cleaning/Feature Engineering/Modelling/Testing/Validation)
- Time Series Modeling
- AWS (Sagemaker/Step Function/ECS/Lambdas)
- CI/CD

BONUS:
- Outlier/Anomaly detection methods
- APIs/SQL/NoSQL/Blob Storage

Top Reasons to Work with Us

Founded over 20 years ago, we are a stable & growing company building mission-critical systems for high-profile clients using the latest cutting-edge technologies with a strong focus on machine learning, high-performance computing, control optimization, and more.
- 100% remote
- Competitive Comp (DOE) $80-95k/ year base
- 10-20% annual targeted bonus
- Benefits, 401K, PTO, etc
..

So if you are a Machine Learning Engineer with experience, please apply today or email caroline.veillon@cybercoders.com!

This job is open to telecommute candidates.

Applicants must be authorized to work in the U.S.

Additional ways to apply

Preferred Skills

  • Machine Learning
  • Python data science libraries
  • End-to-End modeling process
  • Time Series Modeling
  • AWS (Sagemaker/Step Function/ECS/Lambdas)
  • CI/CD
  • Outlier/Anomaly detection methods
  • APIs/SQL/NoSQL/Blob Storage

Nitu Gulati-Pauly is recruiting for this position and the positions below.
email meEmail me to apply for this position

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Job ID: CV5-1622290

CyberCoders, Inc is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

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CyberCoders is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.  CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please email Benefits@cybercoders.com. We will make a determination on your request for reasonable accommodation on a case-by-case basis. UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of CyberCoders.

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