Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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€63к-118к/год
€100к€130кмедиана€210к
По похожим ролям (11) ~ €130к/год
На СНГ рынке: $4.8к/мес ($4к - $6.5к)
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Крутая вакансия
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Это чётко очерченная senior-роль в AI Engineering у крупной фармкомпании, с ответственностью за весь жизненный цикл моделей и прямой связью с разработкой лекарств; привязка к Дублину и отсутствие релокации ограничивают доступность.
Только Дублин
Передовой AI
AI в разработке лекарств
Полный цикл моделей
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Expert (AI Engineering) (AI/drug discovery): Designing, training, and deploying scalable machine learning solutions for drug discovery with an accent on deep learning, graph-based architectures, foundation models, and production-grade MLOps. Focus on optimizing distributed training and inference, validating models against biomedical benchmarks, and building reproducible pipelines with drift detection and continuous improvement.
Location: Hybrid role based in Dublin, Ireland; hirify.global cannot offer relocation support, so applicants must already be able to access the location.
Annual base salary: €63,490–€117,910, plus potential performance-based bonus.
Company
hirify.global develops medicines and applies AI to accelerate scientific and biomedical discovery.
What you will do
Design and train advanced machine learning models for drug discovery, including deep learning and graph-based architectures.
Own the full model lifecycle from problem definition through production deployment, monitoring, and continuous improvement.
Benchmark, validate, and evaluate models against scientific and business objectives and biological and chemical benchmarks.
Deploy reliable, scalable inference services and optimize models and pipelines for latency, throughput, cost, and production performance.
Build automated training, retraining, monitoring, and model-drift detection pipelines.
Establish engineering standards for reproducibility, testing, deployment, and collaboration, while mentoring teams across AI for Research.
Requirements
Minimum 4 years of experience building, training, and deploying machine learning models with measurable real-world impact.
Deep proficiency in Python and frameworks such as PyTorch or JAX, with expertise in model design and optimization.
Proven experience fine-tuning and deploying large pre-trained and foundation models, including language and scientific models.
Strong understanding of model evaluation, including benchmarking, cross-validation, and performance across data distributions.
Experience with distributed training and large-scale computing environments for high-performance model training.
Hands-on expertise optimizing models and pipelines for latency, throughput, cost, and production performance.
Experience with MLOps practices including experiment tracking, model versioning, reproducibility, and cloud deployment.
Strong problem-solving, collaboration, and communication skills, with the ability to drive engineering excellence in complex environments.
Culture & Benefits
Flexible and hybrid working options where possible.
Insurance, retirement plans, wellbeing resources, and global recognition programs.
Minimum 14 weeks of paid parental leave.
Inclusive, diverse, and equitable working environment with periodic salary reviews under the hirify.global pay-setting policy.
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