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Senior Machine Learning Engineer

Scion Technology

Bilbao

Híbrido

EUR 50.000 - 80.000

Jornada completa

Hace 4 días
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Descripción de la vacante

A leading company in quantum computing and AI is seeking an AI / ML Engineer to join their innovative team in Bilbao. The successful candidate will focus on developing state-of-the-art deep learning models, utilizing advanced techniques and collaborating with top-tier professionals in a hybrid work environment. Competitive compensation, flexible hours, and a commitment to continuous learning are integral to this role, making it an exciting opportunity for qualified professionals in the AI field.

Servicios

Competitive compensation
Signing bonus & relocation package
Private health insurance
Educational budget for continuous learning
Career development plan

Formación

  • Master’s or Ph.D. in AI or related field required.
  • 4+ years of industry experience in deep learning and ML.
  • Expertise in NLP and LLM technologies essential.

Responsabilidades

  • Develop deep learning models focused on NLP and LLM.
  • Optimize AI solutions for deployment on cloud environments.
  • Collaborate with global experts to tackle industry challenges.

Conocimientos

Natural Language Processing (NLP)
Deep Learning
Machine Learning
Python
Problem-Solving

Educación

Master’s or Ph.D. in AI, Computer Science, Machine Learning, or Data Science

Herramientas

PyTorch
Hugging Face
Docker
AWS

Descripción del empleo

Scion Technology Staffing has been engaged to identify exceptional candidates for an AI / ML Engineer role at an innovative deep-tech company leading advancements in quantum computing and artificial intelligence. This organization is at the forefront of developing hyper-efficient AI and quantum-driven software solutions, empowering businesses across industries such as finance, energy, manufacturing, and cybersecurity.

With a strong global presence and recognition as one of the 100 most promising AI companies worldwide, this firm is experiencing rapid growth and is seeking top-tier professionals to help drive its next phase of innovation.

  • Competitive compensation with equal pay guarantee
  • Signing bonus & relocation package
  • Private health insurance and flexible benefits
  • Hybrid work environment & flexible hours
  • Educational budget for continuous learning opportunities
  • Career development plan with opportunities for mentorship and leadership growth

Responsibilities :

  • Develop and refine state-of-the-art deep learning models with a focus on natural language processing (NLP) and large language models (LLMs).
  • Work on AI model compression using advanced techniques such as Tensor Networks to enhance efficiency and portability.
  • Optimize, test, and deploy AI solutions on cloud environments (preferably AWS) using containerization technologies like Docker.
  • Implement and optimize ML model pipelines, ensuring high performance and scalability.
  • Collaborate with global AI and quantum computing experts to develop solutions addressing real-world industry challenges.
  • Apply GPU acceleration techniques to improve AI model performance and efficiency.
  • Stay informed on cutting-edge AI / ML advancements, contributing to research and development efforts.

Requirements & Qualifications :

  • Master’s or Ph.D. in Artificial Intelligence, Computer Science, Machine Learning, Data Science, or a related field.
  • 4+ years of hands-on experience in deep learning and machine learning models within an industry setting.
  • Strong expertise in natural language processing (NLP) and LLMs such as LLaMA, Claude, Mistral, YOLO, or Falcon.
  • Excellent programming skills in Python, with experience using PyTorch, Hugging Face, and other ML libraries.
  • Deep understanding of GPU architectures and performance optimization techniques.
  • Proven ability to deploy deep learning models in cloud environments (AWS preferred).
  • Experience with containerization tools (Docker) and MLOps best practices.
  • Excellent problem-solving and debugging skills, with strong written and verbal communication abilities.

Preferred Qualifications :

  • Ph.D. in AI, ML, or a related field with research experience in LLMs.
  • Expertise in unsupervised machine learning for time series analysis.
  • Strong track record of research publications in deep learning.
  • Ability to work independently and contribute in a fast-paced, collaborative environment.

Interested?

Contact Scion Technology Staffing today by submitting your resume through this posting. We look forward to discussing this exciting opportunity with you!

About our firm :

Scion Staffing is a national award-winning staffing firm! Since 2006, we have had the pleasure of successfully placing thousands of talented candidates with amazing opportunities. Through our innovative team building and recruiting solutions, we bridge the gap in executive leadership searches, direct hire technical recruiting, interim leadership placement and temporary professional staffing. Our track record and recruitment process has made us one of the top recruitment firms in the nation.

We are proud to be part of the Forbes lists of the Best Recruitment Firms and the Best Executive Search Firms in America. Additionally, Scion has been recognized as a ClearlyRated Best of Staffing firm as well as a top recruitment firm by The Business Times ! More information about us can also be found at

Scion Staffing, Inc. is an equal opportunity employer and service provider and does not discriminate on the basis of race, religion, gender, gender identity, national origin, citizenship status, sexual orientation, disability, political affiliation or belief, or any other protected class. We are committed to the principles of Equal Opportunity Employment and are dedicated to making employment decisions based on merit and value, for ourselves, our client companies, and for the candidates we represent. We are committed to the principles of Equal Opportunity Employment and are dedicated to making employment decisions based on merit and value, for ourselves, our client companies, and for the candidates we represent. For opportunities located in a region that have enacted fair chance, arrest or conviction-based employment ordinances, Scion Staffing proactively follows the enacted guidance and considers for employment all qualified applications with arrest and conviction records. We believe in following best practices and considering all qualified applicants that apply with us.

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