Senior ML, Search & LLM Ops Engineer

RavenPack; Madrid; Presencial; EUR 65.000 - 138.000; Jornada completa

Descripción de la vacante

RavenPack is hiring for an independent contributor to advance GenAI and SaaS offerings for finance. You will work on domain-specific fine-tuning, high-performance inference, and advanced search/retrieval optimizations within an LLM stack.

The role requires a Master’s/PhD or equivalent practical experience, strong English communication, and EU working status. Contract is 3–6 months with potential extension, based on milestones.

Formación

• Education: Master’s or PhD in Computer Science, Machine Learning, or a quantitative field.
• Proven track record of delivering production-grade ML models and PoCs in Search, Information Retrieval (IR), or LLM infrastructure.
• Core Tech Stack: Python, PyTorch and the Hugging Face ecosystem (Transformers, PEFT, Accelerate).
• Inference & Optimization: Practical experience with model quantization, VRAM optimization, and high-performance serving frameworks (Triton, TEI, vLLM).
• MLOps & Deployment: AWS SageMaker for training/deployment, MLflow, Opik.

Responsabilidades

• Direct Hands-on Execution, Rapid Prototyping, And Delivering Plug-and-play Optimizations For Our Search And LLM Stack.
• Prototype and evaluate domain-specific fine-tuning & PoCs using PEFT (LoRA, QLoRA) for financial contexts.
• Benchmark and optimize model serving for low latency and high throughput; apply quantization and specialized engines.
• Prototype and validate advanced search techniques and hybrid search pipelines.
• Package training, evaluation, and serving scripts into clean, reproducible deliverables using AWS SageMaker and Docker.
• Set up synthetic data generation and automated evaluation harnesses to measure trade-offs for PoCs.

Conocimientos

Python

PyTorch

Hugging Face

Transformers

PEFT

Accelerate

AWS SageMaker

Docker

mlops

English

Educación

Master’s or PhD in Computer Science, ML or quantitative field

Herramientas

Triton Inference Server

TEI

vLLM

LoRA

QLoRA

Distillation

Opik

Descripción del empleo

RavenPack is hiring for an independent contributor to advance GenAI and SaaS offerings for finance. You will work on domain-specific fine-tuning, high-performance inference, and advanced search/retrieval optimizations within an LLM stack.

The role requires a Master’s/PhD or equivalent practical experience, strong English communication, and EU working status. Contract is 3–6 months with potential extension, based on milestones.