Description:
Trax is looking for a ModelOps Engineer/Analyst to join our AI Unit.
This person will serve as the primary technical liaison, hands-on interface between all groups that implement and benefit from computer vision technologies
Assist in the integration of Model Life Cycle management capabilities into the company enterprise systems and business applications.
The ideal candidate will be an independent, highly-motivated, analytics professional.
He or she will be familiar with state-of-the-art technologies and capable of learning our business in detail. He or she will work in a dynamic environment undergoing rapid growth and be responsible for generating insights to our largest customers and our internal AI-unit team.
This role is for a 12 months period with an option to be permanent.
We offer:
Working on state-of-the-art technologies with amazing people
Learning & development opportunities
Global work environment, diverse & inclusive company
Your Day 2 Day:
Produce on-demand insights based on production issues in any part of the recognition factory
Automate analytic processes and build tools to ensure data integrity
Work closely with development and solution teams
Lead model ownership including mapping technical and business gaps
Develop components to improve recognition factory and model efficiency
You have:
BSc in Computer Science/ Mathematics/ Engineering - must
MSc in Computer Science/ Mathematics/ Engineering - an advantage
Strong analytic skills, expert in driving value from data
Experience in programming (Python is an advantage)
Knowledge in Deep Learning - an advantage
Familiarity with MySQL, Big Query, MongoDB, PostgreSQL - an advantage
Enthusiastic about production environment
Multitasking skills
Excellent communication abilities
Passion for learning
Responsibilities:
Requirements:
Trax Retail
Trax is looking for a ModelOps Engineer/Analyst to join our AI Unit.
This person will serve as the primary technical liaison, hands-on interface between all groups that implement and benefit from computer vision technologies
Assist in the integration of Model Life Cycle management capabilities into the company enterprise systems and business applications.
The ideal candidate will be an independent, highly-motivated, analytics professional.
He or she will be familiar with state-of-the-art technologies and capable of learning our business in detail. He or she will work in a dynamic environment undergoing rapid growth and be responsible for generating insights to our largest customers and our internal AI-unit team.
This role is for a 12 months period with an option to be permanent.
We offer:
Working on state-of-the-art technologies with amazing people
Learning & development opportunities
Global work environment, diverse & inclusive company
Your Day 2 Day:
Produce on-demand insights based on production issues in any part of the recognition factory
Automate analytic processes and build tools to ensure data integrity
Work closely with development and solution teams
Lead model ownership including mapping technical and business gaps
Develop components to improve recognition factory and model efficiency
You have:
BSc in Computer Science/ Mathematics/ Engineering - must
MSc in Computer Science/ Mathematics/ Engineering - an advantage
Strong analytic skills, expert in driving value from data
Experience in programming (Python is an advantage)
Knowledge in Deep Learning - an advantage
Familiarity with MySQL, Big Query, MongoDB, PostgreSQL - an advantage
Enthusiastic about production environment
Multitasking skills
Excellent communication abilities
Passion for learning
Responsibilities:
Requirements:
Trax Retail
Other Info
Manila City, Metro Manila
Permanent
Full-time
Permanent
Full-time
Submit profile
Trax Retail
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Position modelops Engineer/analyst recruited by the company Trax Retail at MetroManila, Manila, Joboko automatically collects the salary of , finds more jobs on ModelOps Engineer/Analyst or Trax Retail company in the links above
About the company