Machine Learning Engineer (MLOps & AI Integration)

Location: Albacete, Spain; hybrid work model with physical presence alongside the Albacete IT teams. Occasional travel to Marignane, France and Donauwörth, Germany is expected.

Salary: Attractive salary.

Company

hirify.global Helicopters is a global aerospace manufacturer with a Digital Campus focused on industrial digitalization, innovation, and next-generation flight solutions.

What you will do

• Industrialize machine learning models and GenAI solutions from proof of value to enterprise production on OpenShift AI on-premise and GCP.
• Design and maintain CI/CD pipelines for code quality, secure deployments, and production-ready ML services.
• Integrate chatbots, LLMs, predictive APIs, and RAG data-ingestion pipelines with search engines, vector databases, and graph databases.
• Build monitoring dashboards for model health, API performance, data drift, and infrastructure resource usage; optimize CPU/GPU capacity.
• Create Docker/Git starter kits and standardized environments for Data Scientists, while resolving complex dependency issues.
• Translate Data Science compute needs into IT architecture specifications and support compliance with cybersecurity standards.

Requirements

• 3 to 4+ years of full-time, post-graduate industry experience in Machine Learning Engineering, MLOps, or Software Engineering; internships, apprenticeships, and academic projects do not replace the required corporate or enterprise experience.
• Master’s degree or equivalent in Computer Science, Software Engineering, or Artificial Intelligence.
• Advanced Python and standard software engineering practices, including OOP and API development with FastAPI.
• Experience with OpenShift AI or comparable infrastructure, GCP, Docker, Kubernetes, Git, and CI/CD.
• Experience with MLflow, PostgreSQL/pgvector, Elasticsearch, graph databases, Pandas, Scikit-Learn, Streamlit, GenAI integration frameworks, and monitoring tools such as Grafana or Kibana.
• Fluency in English and Spanish is mandatory.
• Autonomous working style and ability to collaborate across Data Science, IT, and international innovation teams.
• Willingness to travel occasionally to Marignane and Donauwörth.

Nice to have

• French or German language skills.
• Experience putting an ML model or GenAI solution into production; applicants are encouraged to describe one briefly at the top of the CV or cover letter.

Culture & Benefits

• Permanent full-time employment in a collaborative, international, multicultural environment.
• Hybrid working arrangements supporting flexible collaboration.
• Approximately 35 vacation and additional days off per year.
• Health and life insurance, employee stock options, retirement plan, study grants, and special product benefit rates.
• Collective transport service, free canteen, kindergarten, and medical office, subject to applicable conditions.
• Upskilling opportunities, development prospects, and participation in social and corporate social responsibility initiatives.

Hiring process

• Apply online and submit documents in English because the position is managed transnationally.
• Include a CV and/or cover letter; a brief production example of an ML model or GenAI solution is welcomed at the top of the application.