Senior MLOps Engineer (Generative AI/LLMs)

TL;DR

Senior MLOps Engineer (Generative AI/LLMs): Building and optimizing scalable machine learning pipelines for Generative AI and LLMs, with an accent on deployment, reliability, and integration of MLOps tools and practices. Focus on leveraging GenAI, LLMs, and Retrieval-Augmented Generation (RAG) to build intelligent, data-driven systems and developing agentic workflows for scalable and dynamic solutions.

Location: Remote within Spain (Madrid, Barcelona) or the United Kingdom (London).

Salary: €65,000–€82,000 a year in Spain; £55,000–£62,000 a year in the United Kingdom.

Company

hirify.global is the world’s largest communications firm, fostering an environment where people feel empowered to take bold action, and is an independent, family-run business grounded by shared values.

What you will do

• Develop and maintain scalable MLOps pipelines for Generative AI applications.
• Deploy and optimize Generative AI models, including LLMs, in production environments.
• Implement and manage CI/CD pipelines for ML workflows, including testing, validation, and deployment.
• Optimize cloud infrastructure for cost-efficient training and serving of GenAI and LLM models.
• Define and enforce best practices for model versioning, reproducibility, and governance.
• Utilize Databricks to build and manage data and ML pipelines integrated with GenAI and LLM workflows.

Requirements

• 5+ years of experience in MLOps, DevOps, or related roles, focusing on ML and AI.
• Proven expertise in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT).
• Proficient in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face.
• Skilled in cloud platforms (AWS, GCP, Azure), Docker, Kubernetes, and container orchestration.
• Expertise with Databricks, including ML workflows and data pipeline management.
• Fluency in written and spoken English.

Nice to have

• Experience with large-scale distributed training and fine-tuning of GenAI models.
• Familiarity with prompt engineering and model optimization techniques.
• Contributions to open-source projects in the MLOps or GenAI space.
• Familiarity with PySpark for distributed data processing.

Culture & Benefits

• Independent, family-run business with a culture built on trust, innovation, and inclusivity.
• Opportunities to grow, make a meaningful impact, and drive change alongside bright minds.
• Embraces diversity, equity, inclusion, and belonging, reflecting the world we live in.
• Shared values include the relentless pursuit of excellence, constant curiosity, courage, and commitment to positively impact society.