logo image

Shabodi

Machine Learning Engineer


Mississauga, Ontario, Canada .
full-time . June 28, 2022

Description

Be part of the next wave of disruption- 5G & Industry 4.0
 
5G is the biggest disruption since the smartphone, powering the new industrial 4.0 digital economy. Shabodi is the first to market with a patent-pending platform that enables developers to build & deploy next generation applications on a 5G network.
 
Team Shabodi is enabling the ecosystem of next-gen applications and looking for visionaries to join our rapidly growing team!
 
We are a well-funded, institutionally backed startup led by a team of former industry heavyweights from Cisco, Juniper Networks, Nortel, EY and Macquarie Group with two start-up exits and 4 patents under our belts.
 
Shabodi is building a solution that will transform the fashion in which applications are being enabled on the networks, especially a 5G network. We are in the midst of building a virtual appliance which will leverage 5G ‘s core and Radio Access Network (O-RAN etc.) to enable optimized network services for end user applications.
 
Key skills that the candidate should possess:
 
Requirements
 
●     Bachelor's degree in computer science, data science, mathematics, or a related field.
●     Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
●     At least two years' experience as a machine learning engineer.
●     Advanced proficiency with Python, Java, and R code writing.
●     Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
●     In-depth knowledge of mathematics, statistics, and algorithms.
●     Superb analytical and problem-solving abilities.
●     Great communication and collaboration skills.
●     Excellent time management and organizational abilities.
●     Experienced in Continuous Integration and Continuous Deployment (CI/CD) methodologies
●     Experience in Test Driven Development (TDD) and Paired Programming
●     Experience working with Scrum APM practices and tools including Jira, Confluence, Git etc.
●     Strong debugging, problem solving and investigative skills. Ability to assimilate disparate information (log files, error messages etc.) and pursue leads to find root cause problems.
●     Self-starter who can work independently.
●     Strong communication skills.

 
Domain Skills
●     Experience with telecom domain and knowledge of 5G is an asset
 
Roles and responsibilities
●     Consulting with managers to determine and refine machine learning objectives.
●     Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
●     Transforming data science prototypes and applying appropriate ML algorithms and tools.
●     Ensuring that algorithms generate accurate user recommendations.
●     Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
●     Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
●     Developing ML algorithms to analyze huge volumes of historical data to make predictions.
●     Running tests, performing statistical analysis, and interpreting test results.
●     Documenting machine learning processes.
●     Keeping abreast of developments in machine learning
 
Soft Skills 
●     Team player 
●     Communication – to work with a diverse & global team 
●     Excited to make a difference by working in a start-up environment – minimal supervision, out of box thinker 
●     Interested in becoming a key contributor, at the foundational stage of a start-up’s journey
 
 
Job Type
●      Full-time
 
Compensation
●     Competitive base salary plus bonus 
●     Equity options
 
Location 
●     Mississauga, Toronto

Compensation

$100,000.00 - $120,000.00

Know someone who would be a perfect fit? Let them know!