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4 дня назад

AI ML Engineer (NLP)

Формат работы
remote (только Spain)
Тип работы
fulltime
Английский
b2
Страна
Spain
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
AI ML Engineer (NLP): Designing and maintaining machine learning solutions, intelligent agents, LLM applications, and data-driven services for European institutions with an accent on NLP, generative AI, data engineering, and cloud platforms. Focus on building RAG and agentic AI architectures, integrating models through REST services, and applying MLOps, observability, explainability, and AI governance.

Location: Remote work from Alicante, Spain

Company

hirify.global is a digital transformation services company delivering international technology projects for clients across multiple sectors.

What you will do

  • Design, develop, and maintain machine learning solutions including predictive models, recommendation systems, NLP, LLMs, and RAG.
  • Build AI services, intelligent agents, and LLM-based applications using Python and agentic AI frameworks.
  • Support data ingestion, preparation, quality, governance, and lifecycle management across SQL, NoSQL, Big Data, and Data Lake environments.
  • Implement AI/ML solutions on cloud platforms and integrate models into scalable enterprise environments.
  • Apply MLOps practices including experiment tracking, deployment, monitoring, observability, bias management, explainability, and compliance.
  • Develop REST services and integrate AI capabilities into existing applications in collaboration with technical and functional stakeholders.

Requirements

  • Experience with Python, R, Pandas, Scikit-learn, TensorFlow, PyTorch, SpaCy, and NLTK.
  • Knowledge of machine learning, NLP, recommendation systems, LLMs, RAG, agentic AI, and AI agents.
  • Experience with LangChain, LlamaIndex, or Semantic Kernel.
  • Knowledge of AWS Bedrock, SageMaker, Azure AI Studio, or Azure ML.
  • Experience with SQL, NoSQL, Big Data, Data Lakes, web scraping, data ingestion, REST APIs, and ETL.
  • Knowledge of MLflow, Kubeflow, containers, model lifecycle management, observability, and CI/CD practices.
  • Knowledge of explainability, bias detection and mitigation, AI governance, data protection, and AI Act compliance, including tools such as AIF360, Fairlearn, SHAP, and LIME.

Culture & Benefits

  • High-impact international project supporting European institutions and agencies.
  • Collaborative work environment.
  • Career plan and training plan.
  • Flexible remuneration.
  • Full-time employment with remote work.

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