Senior ML Engineer — Real-Time AI Search Platform

Jobgether; España; Sur place; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Career development and learning

Flexible work and ownership

Résumé du poste

Jobgether is seeking a Senior ML Engineer to design, train, and deploy ML models powering retrieval, ranking, and indexing for an agent-native search platform in real time. You will own end-to-end ML systems, influence architecture, and drive production readiness across high-throughput workloads.

You will collaborate across ML and software teams to translate advanced techniques into reliable services, with opportunities to shape product strategy and technical direction in a fast-moving

Qualifications

• 5+ years of experience in software engineering or applied machine learning.
• Proven ability to deploy and operate ML models in production systems.
• Experience with retrieval, ranking, or recommender systems.
• Strong Python, Go, or C++ programming skills.
• Experience with large-scale data systems and high-throughput environments.

Responsabilités

• Lead development and optimization of ML capabilities for large-scale search systems.
• Design, train, deploy, and maintain ML models for retrieval and ranking.
• Build embedding-based indexing and large-scale information retrieval workflows.
• Define quality metrics and build evaluation pipelines for agent-native search.
• Collaborate with engineering teams to integrate models into production services.

Connaissances

Python

Go

C++

Production deployment

Information retrieval

Ranking systems

Large-scale data

ML in production

Description du poste

Jobgether is seeking a Senior ML Engineer to design, train, and deploy ML models powering retrieval, ranking, and indexing for an agent-native search platform in real time. You will own end-to-end ML systems, influence architecture, and drive production readiness across high-throughput workloads.

You will collaborate across ML and software teams to translate advanced techniques into reliable services, with opportunities to shape product strategy and technical direction in a fast-moving