Senior ML Engineer — Real-Time AI Search Platform

Jobgether

España

On-site

EUR 70,000 - 110,000

Full time

3 days ago
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Benefits offered by this job

Competitive compensation
Career development and learning
Flexible work and ownership

Job summary

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.

Responsibilities

  • 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.

Skills

Python
Go
C++
Production deployment
Information retrieval
Ranking systems
Large-scale data
ML in production

Job description

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

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