Senior Ml Engineer - Search & Llm Ops

Ravenpack; Málaga; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive salary

Continuous learning

Innovative culture

Diversity and international环境

Descripción de la vacante

RavenPack in Málaga, Spain, seeks a Senior ML Engineer to own the end-to-end ML lifecycle for search and recommendation intelligence, delivering accurate, personalized content for financial professionals. You will collaborate with product, software, and data science teams to shape how users discover critical information.

You’ll work on information retrieval, NLP, and finance problems using Python, PyTorch/TF, vector databases, and scalable recommender systems, contributing to an innovative,

Formación

• Master’s or PhD in Computer Science, ML, Data Science, or related quantitative field
• 3+ years of production ML experience focused on Information Retrieval, Search, or Recommender Systems
• Proficiency in Python and SQL or similar query languages
• Experience with PyTorch or TensorFlow, Scikit-learn, and Hugging Face
• Hands-on experience with vector databases
• Strong analytical mindset and quantitative problem-solving skills
• Excellent English communication, both written and spoken

Responsabilidades

• Lead end-to-end design, development, and deployment of ranking and retrieval models for relevant search results
• Advance semantic search through fine-tuning/distillation of language models and embedding techniques
• Architect and implement scalable recommender systems to personalize user experiences
• Collaborate with product managers, software engineers, and data scientists to translate business needs into technical solutions
• Stay ahead of trends in ML, NLP, and information retrieval, prototyping new ideas

Conocimientos

Information retrieval

Search

Recommender systems

Python

SQL

Educación

Master's degree in Computer Science/ML/Data Science

PhD in a related field

Herramientas

PyTorch

TensorFlow

Scikit-learn

Hugging Face

Vector databases

Descripción del empleo

Senior ML Engineer - Search & LLM Ops RavenPack malaga, andalucia, Spain

Descripción del trabajo

Experteer Overview In this role you will own the end-to-end ML lifecycle for our search and recommendation intelligence, driving accurate and personalized content delivery for financial professionals. You will shape how users discover critical information, collaborating across product, software, and data science teams. This position combines information retrieval, NLP, and finance to solve impactful, scalable problems. You’ll join a fast-moving, innovative environment with a clear impact on decision‑making workflows. A strong hook is RavenPack’s focus on AI-powered financial insights at scale.

Compensaciones / Beneficios

• Lead end-to-end design, development, and deployment of ranking and retrieval models for relevant search results
• Advance semantic search through fine-tuning/distillation of language models and embedding techniques
• Architect and implement scalable recommender systems to personalize user experiences
• Collaborate with product managers, software engineers, and data scientists to translate business needs into technical solutions
• Stay ahead of trends in ML, NLP, and information retrieval, prototyping new ideas

Responsabilidades

• Master’s or PhD in Computer Science, ML, Data Science, or related quantitative field
• 3+ years of production ML experience focused on Information Retrieval, Search, or Recommender Systems
• Proficiency in Python and SQL or similar query languages
• Experience with PyTorch or TensorFlow, Scikit-learn, and Hugging Face
• Hands-on experience with vector databases
• Strong analytical mindset and quantitative problem-solving skills
• Excellent English communication, both written and spoken

Requisitos principales

• Growth opportunities
• Competitive salary
• Continuous learning
• Innovative culture
• Diversity and international environment