¡Activa las notificaciones laborales por email!

AI Engineer (100% REMOTE)

Ekkiden

Madrid

A distancia

EUR 60.000 - 80.000

Jornada completa

Hace 2 días
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A consulting group in Madrid is seeking an experienced AI Engineer to design and implement scalable AI solutions, focusing on Natural Language Processing and machine learning. The role involves overseeing the full machine learning lifecycle and collaborating with data scientists and engineers. Ideal candidates should have 5+ years in the field and expertise in Python, LLMs, and ML Ops. A strong academic background is preferred. Competitive benefits, including health insurance, are offered.

Servicios

Health insurance
Career development opportunities
Autonomy in project management

Formación

  • 5 years of experience in AI, NLP, and deep learning.
  • Strong hands-on expertise in LLMs and chatbots.
  • Proficient in Python and major deep learning frameworks.
  • Experience with ML Ops and DevOps practices.

Responsabilidades

  • Design and implement AI and NLP workflows aligned with business objectives.
  • Oversee the machine learning lifecycle from preparation to deployment.
  • Develop APIs and web services in Python.
  • Present AI concepts to stakeholders.

Conocimientos

Natural Language Processing
Generative AI
Machine Learning Engineering
Model Training
Python
Docker
Kubernetes
Azure DevOps
Deep Learning
Cloud Infrastructure

Educación

Master's or PhD in Computer Science or related fields

Herramientas

Keras
TensorFlow
PyTorch
JAX
NVIDIA Triton

Descripción del empleo

International consulting group founded in 2019 Ekkiden fosters an ecosystem of passionate and committed consultants who lead organizational operational and technological transformation projects in IT / Digital Industry / R&D and Sustainability for large enterprises and SMEs in France Switzerland Spain and Germany.

About the job :

We are seeking a highly skilled AI Engineer with a strong background in Natural Language Processing (NLP) Generative AI and machine learning engineering to design develop deploy and maintain scalable AI solutions. This role is instrumental in driving intelligent automation and data-driven decision-making across the organization.

The AI Engineer will oversee the full machine learning lifecycle from data preparation and model training to deployment and monitoring leveraging modern ML Ops practices and tools. A significant focus will be placed on developing and fine-tuning LLM-based chatbots implementing text classification and information extraction pipelines and ensuring compliance and alignment with business goals.

Responsibilities :

Design and implement cutting-edge AI and NLP workflows algorithms and scalable solutions aligned with business objectives.

Develop and fine-tune Large Language Model (LLM) -based chatbots and text processing pipelines ( classification extraction etc. ).

Oversee the complete machine learning lifecycle : data preparation training validation deployment monitoring and retraining.

Operate in both public cloud environments ( AWS Azure GCP ) and on-premises infrastructure using GPU-based backends.

Develop production-ready APIs and web services in Python; build web apps using Dash Flask or Streamlit .

Implement and manage CI / CD pipelines and ML Ops frameworks using Docker Kubernetes and Azure DevOps .

Conduct model performance evaluations testing troubleshooting and enhancements.

Present complex AI concepts and results to both technical and non-technical stakeholders.

Identify evaluate and integrate emerging technologies in AI NLP and deep learning.

Collaborate with data scientists software engineers and infrastructure teams to ensure secure and maintainable AI deployments.

What we are looking for :

5 years of experience in AI NLP and deep learning ideally with exposure to industrial or production settings.

Strong hands-on expertise in LLMs chatbots Retrieval-Augmented Generation (RAG) multi-task classification and model compression techniques.

Proficient in Python and experienced with at least one major deep learning framework ( Keras TensorFlow PyTorch or JAX ).

Skilled in ML model serving using NVIDIA Triton vLLM or Ollama.

Familiarity with ML Ops and DevOps practices including Docker Kubernetes and Azure DevOps .

Comfortable working with both cloud-based and on-premises infrastructures.

Effective communicator with excellent interpersonal skills and the ability to work in multicultural international teams.

Academic background in Computer Science AI or related fields; a Masters or PhD is a strong advantage.

Proven track record of contributing to the AI research community (e.g. publications in ACL EMNLP) is a plus.

We offer :

Join us at the right time to make your mark in a fast-growing organization

Various missions and projects that will allow you to have a real impact on the company

The ability to work autonomously and to drive new initiatives

A career path adapted to your personality both in terms of role and location

A strong culture based on sharing respect ambition and team spirit

The opportunity to manage teams and develop your area of expertise by leading one of our squads

Develop your management and leadership skills because at Ekkiden consultants look after the careers of other consultants. Gone are the days when your career was driven by a salesman !

H ealth insurance

Whats the Recruitment Process Like at Ekkiden

At Ekkiden were committed to providing a positive experience for every candidate.

Initial Call : Our recruitment team will reach out to discuss your motivations and expectations.

Interviews : Youll have one or two interviews with our business managers depending on the role youre applying for.

Client Meeting : Finally youll have the opportunity to meet with the client.

While this is our standard process we may make adjustments based on specific circumstances.

You can also find all our job offers on our website

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full-Time

Experience : years

Vacancy : 1

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.