AI Developer – Data Generation

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GENAIZ

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Seed on 2018-02

Healthcare • Consulting • Logistics

<GENAIZ> is an AI-driven intelligent automation platform for life sciences and healthcare organizations that harmonizes diverse data sources and connects systems to accelerate product development, regulatory review, and compliance workflows. Its GxP-compliant, enterprise-grade solutions—offered as single-tenant cloud or on-premises deployments—include plug-and-play tools like RiskRelief. AI, ConformityCheck. AI, FileSub. AI, DueDil. AI, and LitReview. AI to automate data cleaning, anomaly detection, due diligence, and literature review at scale. GENAIZ focuses on secure data ownership, ethics, and high-throughput processing to help pharmaceutical and biotech teams make faster, more reliable decisions.

📋 Description

• 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 • Participate in peer review, share ideas and help everyone succeed • Understand domain data sets and their characteristics so that data sets with similar characteristics may be generated • Develop and build AI to generate image-based datasets • Work alongside developers, UI/UX designers, product, business, and architecture teams

🎯 Requirements

• 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 models • Experience 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, verbal and interpersonal communication • 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

• Competitive base salary + bonus • Comprehensive insurance coverage • Dynamic company culture with career development opportunities • Flexible working hours