AI developer - data generation

GenAIz

Montreal (administrative region)

On-site

CAD 90,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Permanent Full-time position
Competitive base salary + bonus
Comprehensive insurance coverage
Dynamic culture with career growth
Flexible working hours

Job summary

GenAIz, a Montreal-based software development company, seeks an AI developer to design and build AI solutions that generate image-based datasets. You will work with developers, UI/UX designers, product, business, and architecture teams.

The role emphasizes independent work, clear communication, and collaboration across teams while advancing ML models for vision tasks and dataset creation in life sciences and pharma.

Qualifications

  • Master's degree or equivalent experience.
  • 3+ years of industry experience on multidisciplinary image-based projects.
  • Theoretical and empirical experience in machine learning.
  • Experience implementing and evaluating machine learning models; applying deep neural networks to vision problems.

Responsibilities

  • Act independently, developing without significant supervision.
  • Communicate and document progress for technical and non-technical audiences.
  • Report and present progress clearly to peers and management.
  • Be a team player by participating in peer review and sharing ideas.
  • Understand domain data sets and their characteristics to generate similar datasets.

Skills

Python
Deep learning
Data manipulation
Production code

Education

Master's degree

Tools

Caffe
Keras
TensorFlow
PyTorch
NumPy
scikit-learn

Job description

GenAIz is a young and dynamic software development company that is active in, and changing, the life science and pharmaceutical industry. We are looking for a creative, determined, and enthusiastic AI developer that can use, and build AI, to generate image-based datasets. As we believe in the power of collaboration, you will be working alongside developers, UI/UX designers, product, business, and architecture teams.

Responsibilities
  • Act independently, developing without significant supervision.
  • Communicate and document progress for technical and non-technical audiences.
  • Report and present progress clearly and effectively to peers and management.
  • Be a team player by participating in peer review, sharing ideas and helping everyone succeed.
  • Understand domain data sets and their characteristics such that data sets with similar characteristics may be generated.
Qualifications
  • A master's or equivalent experience
  • 3+ years of industry experience on multidisciplinary image-based projects in either engineering or science disciplines
  • Theoretical and empirical experience in machine learning
  • Experience with business team requirements
  • Experience implementing and evaluating machine learning modelsExperience applying deep neural networks to vision problems
  • Comfortable improving existing code and refining existing models
  • History of creating and working with datasets, preferably large datasets
  • Experience manipulating and analyzing data from different sources
  • Able to write clean, re-usable, and production-ready code
  • Familiar with Python, deep learning frameworks such as Caffe, Keras, TensorFlow, Pytorch, numpy and sklearn
  • Excellent written, verbaland interpersonal communication
Personality
  • Love to work as part of a team and with people in general
  • Tolerate uncertainty and changing environments
  • Positive, tenacious
  • Love self-learning of new technologies, algorithms and techniques
  • Organized, disciplined and independent
Benefits
  • Permanent Full-time position
  • Competitive base salary + bonus
  • Comprehensive insurance coverage
  • Dynamic company culture with career development opportunities
  • Flexible working hours

GenAIz is an equal opportunity employer. All applicants will receive consideration for employment without regard to age, color, family or medical care leave, gender identity or expression, marital status, medical condition, national origin, physical or mental disability, political affiliation, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

We thank all applicants for their interest, only selected candidates will be contacted.

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