Senior MLOps (AI)

Location: Amsterdam, Netherlands

Salary: €53,800–€89,900 per year

Company

hirify.global is an information and analytics company supporting scientific research, healthcare education, clinical practice, and life sciences products.

What you will do

• Automate and orchestrate ML workflows across AWS, Azure, Databricks, and foundation model platforms.
• Build and operate model registries, artifact stores, CI/CD pipelines, data validation, model testing, and deployment processes.
• Design engineering components for GenAI, agentic AI, RAG, semantic search, hybrid retrieval, embeddings, prompt libraries, guardrails, and structured LLM outputs.
• Develop ML pipelines using Elasticsearch, OpenSearch, Solr, vector databases, and graph databases for search and recommendation systems.
• Build evaluation pipelines covering information retrieval metrics, LLM quality metrics, and A/B testing.
• Collaborate with data scientists, engineers, subject matter experts, product managers, Responsible AI specialists, and operations engineers.

Requirements

• 5+ years of experience in ML engineering, MLOps, and shipping ML, search, or GenAI systems to production.
• Strong Python, Java, and/or Scala engineering skills.
• Experience with AWS, Azure, and/or Google Cloud, plus MLOps platforms such as SageMaker, MLflow, or Azure ML.
• Experience with NLP, machine learning theory, statistical analysis, model evaluation, and the data science lifecycle.
• Hands-on experience with search, vector, and graph technologies such as Elasticsearch, OpenSearch, Solr, or Neo4j.
• Experience with PyTorch, TensorFlow, PySpark, Spark, scholarly publishing workflows, bibliometrics, or citation graphs.

Culture & Benefits

• Work-life balance supported through wellbeing initiatives.
• Shared parental leave and country-specific benefits.
• Study assistance and sabbatical opportunities.
• Employment covered by the Collective Labor Agreement Publishing Industry.
• Accessible hiring process with workplace accommodations available on request.