AI Developer

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.

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.

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.

• Competitive salary • Benefits package

• Apprentissage automatiqueSouhaitée
• GitSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

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

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

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine