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AI Developer

  • Montreal, QC, H3C 2M8, Canada

Full-time

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Job details

Job type
Full-time
Experience
3+ years of experience in Python development (including data structures, algorithms, and object-oriented programming)
Posting language
English
Posted

Original job description

Job Title: AI Developer

Company: GenAIz

Location: Montreal, Quebec (Hybrid)

Job Type: Full-time

About Us

GenAIz is a cutting-edge technology company specializing in developing solutions for the Life Sciences industry. We're looking for an experienced and skilled AI Developer to join our team and help create innovative solutions.

Job Description

We're seeking a seasoned professional with hands-on experience in designing, developing, and deploying various machine learning models. As our ideal candidate, you'll be responsible for:

  • Developing high-quality software using Python
  • Creating, training, and testing various Machine Learning (ML) models from scratch
  • Implementing Large Language Models (LLMs) to solve complex problems in the Life Sciences industry
  • Collaborating with cross-functional teams to identify business needs and develop solutions
  • Troubleshooting and debugging code, identifying areas for improvement, and implementing best practices
  • Staying up-to-date with advancements in AI/ML research and development

Requirements

  • 3+ years of experience in Python development (including data structures, algorithms, and object-oriented programming)
  • Deep understanding of Large Language Models (LLMs) and their applications in the Life Sciences industry
  • Experience creating various ML models from scratch using popular libraries such as TensorFlow or PyTorch
  • Strong knowledge of machine learning concepts, including supervised/unsupervised learning, neural networks, and deep learning
  • Familiarity with software development methodologies
  • Experience working with version control systems (Git)
  • Excellent problem-solving skills and ability to work independently
  • Strong communication and collaboration skills

Nice to Have

  • Certification in machine learning or data science (e.g., Certified Data Scientist, Certified Machine Learning Engineer)
  • Experience with deep learning architectures and neural networks
  • Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure)
  • Knowledge of DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines

What We Offer

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge technology projects in the Life Sciences industry
  • Flexible remote work arrangement with occasional travel to Montreal or surrounding areas
  • Collaborative and dynamic work environment

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 but only selected candidates will be contacted.

More about this job

Responsibilities

The developer will be responsible for designing, developing, and deploying various machine learning models, including creating high-quality software using Python and implementing LLMs to address complex problems in the Life Sciences industry. This involves collaborating with teams, troubleshooting code, and staying current with AI/ML advancements.

Requirements

Candidates must possess over 3 years of experience in Python development, including strong knowledge of data structures and OOP, alongside a deep understanding of LLMs and their applications. Essential technical requirements include experience building ML models from scratch using libraries like TensorFlow or PyTorch and familiarity with version control systems like Git.

Skills

  • Python
  • Machine Learning
  • Large Language Models
  • LLMs
  • TensorFlow
  • PyTorch
  • Deep Learning
  • Supervised Learning
  • Unsupervised Learning
  • Neural Networks
  • Git

Benefits

  • Competitive salary
  • Benefits package

Visa sponsorship

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Categories

  • Technology
  • Science & Research
  • Software
  • Data & Analytics
  • Engineering

Keywords

  • AI
  • Machine Learning
  • Life Sciences
  • Python
  • Software Development
  • Model Deployment
  • LLMs
  • Large Language Models
  • TensorFlow
  • PyTorch
  • Deep Learning
  • Neural Networks
  • Supervised Learning
  • Unsupervised Learning
  • Git
  • Version Control
  • Software Methodologies
  • Problem-Solving
  • Communication
  • Cloud Platforms
  • DevOps
  • CI/CD

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