MLOps Engineer (AI)

TL;DR

MLOps Engineer (AI): Designing and optimizing the core ML backbone for real-time predictions at massive scale with an accent on scaling training pipelines, model management, and reliable inference. Focus on building modern ML platforms, optimizing GPU workloads, and ensuring system reliability under extreme load.

Location: Relocation to Barcelona, Spain, and work from the office in the city center.

Company

hirify.global is a dynamic US-based product company with a global presence, a leader in mobile app monetization, focused on helping people discover and grow their talents.

What you will do

• Design, operate, and improve the ML platform using Databricks, MLflow, Unity Catalog, and GitHub Actions.
• Support data scientists in developing and maintaining end-to-end training pipelines, including data processing, feature transformations, and GPU-based model training.
• Ensure reliable and safe model inference through validation, metadata compatibility checks, and latency monitoring.
• Maintain strong ML observability, including online/offline monitoring, data parity checks, and automated model performance validation.
• Develop internal tools and APIs to enable efficient model experimentation, validation, and promotion for DS teams and account managers.

Requirements

• 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems.
• Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar).
• Hands-on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization.
• Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks.
• Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud-based ML platform.
• Strong English communication skills.

Nice to have

• Exposure to very high-load, low-latency ML inference environments.
• Knowledge of distributed or large-scale ML training frameworks and multi-GPU setups.
• Ability to work with Rust programming language.
• Familiarity with transformer architectures or sequence modeling approaches.

Culture & Benefits

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• Collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and a comprehensive benefits package.
• Professional development opportunities and career growth prospects.
• Commitment to continuous learning, making an impact, solving exciting challenges, and enjoying the journey.