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This listing was closed on Aug 12, 2026.
Browse Open JobsSenior AI/ML Engineer (MLOps & GenAI)
Summary by AIEngineer.careers
Senior AI/ML Engineer (MLOps & GenAI) is a MLOps Engineer role (full-time). with Plain Concepts. in REMOTE, WORLDWIDE. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
REMOTE · WORLDWIDE
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Plain Concepts is seeking a Senior AI/ML Engineer to join their international AI/ML squad. The role involves designing, developing, deploying, and monitoring AI solutions for clients, with a focus on MLOps and GenAI. You will work on cutting-edge projects using modern tech stacks in a fully remote, collaborative environment.
Responsibilities
- Participating in the design and development of AI solutions for challenging projects.
- Building production level ML/AI solutions with solid software engineering and ML/AI principles.
- MLOps automated deployment and monitoring (models and infrastructure).
- Data analysis (data cleaning, variable transformation, etc.).
- Developing and training ML models.
- Putting AI models into production (parallelizing, optimizing, tuning, testing).
Requirements
- More than 7 years of experience in AI / Machine Learning / Data Science.
- Ability to build an end-to-end software product with AI/ML components.
- Experience with Azure or other cloud-based solution.
- Strong skills in Python and reasonable SQL understanding.
- Strong background in NLP and Computer Vision.
- Experience building ML/Deep Learning pipelines and models.
Plain Concepts
Madrid · ES · 800+ employees
Plain Concepts is an AI-driven technology consulting firm that solves complex business problems through advanced software, AI, data, and cloud solutions. They transform business complexity into competitive advantage with an end-to-end approach from thought to value.
