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обновлено 1 месяц назад

Senior Machine Learning Engineer (iGaming)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Релокация
Spain

Описание вакансии

Текст:
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TL;DR

Founding Senior Machine Learning Engineer: Designing, developing, and deploying AI and ML solutions from the ground up for gaming and CRM use cases with an accent on MLOps practices, CI/CD pipelines, and data pipeline maintenance. Focus on transforming prototypes into production-ready solutions and integrating AI capabilities into customer-facing applications.

Location: Office based for Valencia, Spain. Relocation package available to Spain.

Company

hirify.global is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing.

What you will do

  • Develop, train, and fine-tune Machine Learning and Deep Learning models for gaming and CRM.
  • Design, build, and maintain data pipelines to ensure reliable, clean, and scalable datasets.
  • Collaborate with the Head of AI to transform prototypes into production-ready solutions.
  • Contribute to infrastructure setup, including MLOps practices and CI/CD pipelines for machine learning models.
  • Work with cross-functional teams to integrate AI capabilities into customer-facing applications.
  • Document and communicate results clearly to both technical and non-technical stakeholders.

Requirements

  • Minimum of 3+ years of experience in Machine Learning, Data Engineering, or Applied AI roles.
  • Strong proficiency in Python and machine learning frameworks like PyTorch or TensorFlow.
  • Solid experience with data engineering tools (e.g., SQL, Spark, Airflow, or equivalents).
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure).
  • Proven expertise in deploying ML models in production environments.
  • Excellent communication skills in English.

Nice to have

  • Experience with MLOps tools such as Docker, Kubernetes, MLflow, or Weights & Biases.
  • Familiarity with transformers and large language models (LLMs), particularly within the Hugging Face ecosystem.
  • Exposure to a variety of data types, including structured (tabular) and unstructured (text, images).
  • Previous experience working in the iGaming industry.

Culture & Benefits

  • 23 days of paid vacation leave and six additional days of undocumented sick leaves.
  • Medical Insurance.
  • Birthdays, milestones and employee anniversaries celebrations, plus a Social Club with more than 50 events per year.
  • Modern offices with snacks and partial coverage of breakfasts and lunches.
  • Learning and development opportunities and interesting, challenging tasks.
  • Competitive remuneration level with annual review and teambuilding activities.