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Senior Machine Learning Engineer

NLP PEOPLE

Madrid

A distancia

EUR 60.000 - 90.000

Jornada completa

Hace 5 días
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Descripción de la vacante

NLP PEOPLE seeks a Senior Machine Learning Engineer to enhance ML processes and lead projects focusing on advanced AI models. In this remote-first role based in Madrid, you will leverage state-of-the-art AI technologies to drive business value and mentor a growing team. Ideal candidates will demonstrate expertise in ML engineering practices with a strong foundation in NLP and MLOps.

Servicios

Remote-first organization
Additional wellbeing days
Access to learning platforms
Wellbeing initiatives
Volunteer days

Formación

  • 5+ years of experience in ML engineering or related roles.
  • Proficient in deploying production-grade ML models and pipelines.
  • Experience with NLP techniques and frameworks for LLMs.

Responsabilidades

  • Design scalable ML infrastructure and lead ML projects.
  • Collaborate with stakeholders to align AI models with requirements.
  • Mentor junior team members in best practices for AI development.

Conocimientos

Machine Learning
Python
Deep Learning
NLP
MLOps
Agile Project Management
Problem Solving
Communication

Herramientas

Docker
Kubernetes
MLflow
Flask
FastAPI
Azure
AWS
GCP

Descripción del empleo

Who we are At Frontiers we are on a mission to make all science open, enabling the research community to develop thesolutions we need to live healthy lives on ahealthy planet. Powered by custom-built technology, artificial intelligence, andrigorous quality standards, our research articles have been viewed more than 2.1 billion times, reflecting the power of research that is open for all. Join the publishing revolution. Follow the links below to learn more about our work. https://progressreport.frontiersin.org/ https://www.youtube.com/watch?v=87ejFfnQzko What we can offer you We provide a range of benefits across our locations, including but not limited to: We are a remote-first organization and most of our roles are work-from-home 4 additional wellbeing days in addition to existing annual leave allowance Access to learning platforms and dedicated learning & development time A range of wellbeing initiatives, including free online yoga classes and an employee assistance plan Employees can dedicate three days each year to volunteer The role: We are looking for a Senior Machine Learning Engineer, who will be responsible for leading the deployment and maintenance of advanced ML models, including large language models (LLMs). This role focuses on enhancing ML operational processes to drive business value using state-of-the-art AI technologies, and on leading projects involving cutting-edge AI techniques to positively impact and achieve portfolio goals. Responsibilities: Designing scalable ML infrastructure, collaborating with the team. Adopting MLOps best practices; designing pipelines for training and deploying advanced AI models. Identifying and implementing automation opportunities in developing and deploying AI systems. Collaborating with stakeholders to align AI models with business requirements. Overseeing integration of ML models into production, ensuring efficient serving of AI applications. Leading complex ML projects from development to deployment. Mentoring junior team members, enforcing best practices in AI model development and deployment. Leading process improvement initiatives to optimize workflows for advanced AI projects. Skills: Extensive experience in end-to-end ML projects and deploying production-grade ML models, including LLMs. 5+ years of professional experience in ML engineering or related roles. Proficiency in Python, ML libraries, and algorithms. Expertise in deep learning frameworks; experience with LLMs (e.g., GPT, BERT) and generative models, including prompt engineering and fine-tuning. Experience with MLOps tools (e.g., MLflow, TFX, Kubeflow) for managing complex models. Proficiency in REST API design in Python (Flask, FastAPI) for serving AI services. Experience with cloud platforms (Azure, AWS, or GCP) for model training and deployment. Expertise in Docker and Kubernetes for efficient model deployment. Experience with workflow engines (e.g., Airflow) for automating data and model pipelines. Knowledge of data versioning tools like DVC for reproducibility. Familiarity with NLP techniques and frameworks (e.g., Hugging Face Transformers) for LLMs. Agile project management methodologies (Scrum, Kanban); experience in agile AI teams. Strong communication, problem-solving, leadership, and stakeholder management skills with a continuous learning mindset. Apply now Please click the ‘apply’ button on this page and submit your application in English. Please inform us if you require any special accommodations to participate fully in our recruitment experience. You can contact us at for any additional support. Equal opportunity statement Frontiers actively embraces diversity and is a safe and welcoming workplace. Recruitment is free from discrimination – including based on race, national or ethnic origin, age, religion, disability, sex, gender identity or sexual orientation. With employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives. Frontiers is a leading academic publisher working with exceptional researchers to review, publish, and disseminate their discoveries. Featuring custom-built technology and artificial intelligence, along with dedicated support teams and rigorous quality standards, we are revolutionizing how research is published. We are the world’s third most-cited publisher and our articles have been viewed 1.5 billion times – reflecting the power of research that is open for all. Don’t see a role you are looking for? Submit your resume and contact information and we’ll be in touch when a suitable role arises.

Company:

Frontiers Software SL

Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Language Modeling, Machine Learning, NLP, Spain

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