Назад
Company hidden
4 дня назад

Senior Expert (AI Engineering)

63 490 - 117 910€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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