AI​/ML Engineer

Role Overview

Trigyn has a contractual opportunity for an AI / ML Engineer located at the client site in Spain.

AI / ML Engineers design, build, and operate machine and deep learning solutions that drive intelligent automation and data‑driven decision‑making across the organization. AI Engineers are responsible for deploying production‑ready models, integrating them into scalable systems, and ensuring their reliability and performance through robust ML Ops practices. The incumbent will oversee the full machine‑learning lifecycle—including data preparation, model development, validation, deployment, monitoring, and retraining—using modern orchestration, CI/CD tools, and cloud platforms (e.g., Microsoft Azure).

A key focus of this role includes advancing the organization’s capabilities in Natural Language Processing (NLP) and Generative AI, such as developing and fine‑tuning Large Language Model‑based chatbots, implementing text classification and extraction pipelines, and ensuring linguistic models align with business objectives and compliance requirements. The AI Engineer collaborates closely with data scientists, software engineers, and infrastructure teams to ensure AI solutions are secure, maintainable, and aligned with enterprise architecture and strategic goals.

• +5 years experience as a researcher or engineer in AI, NLP and deep learning‑related tasks; industry experience is a plus.
• +5 years experience with text classification, information extraction, sequence labelling, model selection, evaluation, and result analysis.
• +3 years experience of multi‑class and multi‑task classification; LLMs; dialogue systems / chatbots, Retrieval Augmented Generation (RAG), Agentic AI; adversarial architectures; online learning methodologies; model compression (pruning, quantization, distillation…); AI model serving for production settings.
• +3 years experience with Cloud platforms (e.g., Azure); API and web service development in Python; web app development in Python; agile methodologies; containers and their orchestration; cloud computing solutions.
• Presence in the AI community, e.g., with experience in publishing research material.

• Designing and implementing machine and deep learning‑based AI & NLP workflows, algorithms and solutions in alignment with the business needs.
• Deliver scalable and maintainable solution using the latest cutting‑edge technology.
• Identification and evaluation of strategic innovations (concepts, tools/languages, technologies, services) in the field of AI, NLP and deep learning.
• Constant personal development in new technologies.

• R&D of AI‑based workflows, algorithms and solutions.
• Work in public cloud environments (AWS, Azure, or Google) as well as on‑premises.
• Work with GPU‑based backends and cloud platforms.
• Install and configure AI and ML Ops systems to ensure functionality.
• Analyze structural requirements for new software and applications.
• Evaluate and analyze complex AI solutions and result collections.
• Supervise and develop AI and ML Ops processes.
• Design complex AI and ML Ops pipelines and workflows.
• Present technical concepts to non‑technical audiences.
• Improve and enhance existing AI solutions. Handover AI solutions to clients or colleagues.
• Improve performance by conducting tests, troubleshooting and integrating new elements.
• Define and prototype basic demonstrations for AI solutions and workflows.

The resource MUST have the following skills and experience:

• Advanced knowledge of Python, Bash, Git, SSH, and Linux terminal.
• Advanced knowledge of one of the following deep learning backends:
  Keras, Tensor Flow, PyTorch, or JAX.
• Advanced knowledge of one of the following solutions for AI model serving: NVIDIA Triton Inference Server; vLLM; or Ollama.
• Knowledge of one of the following web app development solutions:
  Dash, Flask or Streamlit.
• Knowledge of Microsoft Azure Dev Ops Services for R&D and AI model / solution deployments, including ML and Copilot Studio.
• Knowledge of Docker and Kubernetes for R&D and production settings.

The resource SHOULD have the following skills and experience:

• Kn…