Chief Machine Learning Architect

beBeeMachineLearning; Marbella; A distancia; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A tech company specializing in AI is seeking a seasoned AI Researcher to lead ML initiatives. This role involves developing ML infrastructure, deploying Large Language Models, and turning research into reliable APIs. Candidates should have over 4 years of experience in AI/ML Engineering, be proficient in Python, and have a strong background in production environments. The position offers remote work and competitive benefits.

Servicios

Remote work arrangement

Competitive compensation package

Equity participation

Opportunity to make significant impact

Formación

• 4+ years of experience in AI / ML Engineering / MLOps.
• Strong proficiency in Python and popular ML frameworks.
• Proven track record in deploying ML models in production environments.

Responsabilidades

• Develop and scale ML infrastructure for training, serving, and monitoring.
• Deploy Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
• Translate innovative research into robust APIs and reliable services.

Conocimientos

AI / ML Engineering

MLOps

Python

PyTorch

TensorFlow

Cloud computing

Kubernetes

Docker

CI / CD tools

Descripción del empleo

Overview

We are seeking a seasoned AI Researcher to spearhead our machine learning endeavors. The ideal candidate will design and deploy cutting-edge ML infrastructure, drive research-to-production pipelines, and power evaluation guardrails in real-world environments.

Responsibilities

• Develop and scale ML infrastructure for training, serving, and monitoring.
• Deploy Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and detectors into production.
• Translate innovative research into robust APIs and reliable services.

Requirements

• 4+ years of experience in AI / ML Engineering / MLOps.
• Strong proficiency in Python and popular ML frameworks (PyTorch / TensorFlow).
• Familiarity with cloud computing, Kubernetes, Docker, CI / CD tools.
• Proven track record in deploying ML models in production environments.

Nice to Have

• Experience with LLMs / RAGs, regulated industries, or compliance frameworks.

Benefits

• Remote work arrangement, competitive compensation package, equity participation, and an early-stage opportunity to make a significant impact.