Machine Learning Engineer, hibrido
Empresa
Michael Page
Provincia
Barcelona
Ciudad
Barcelona
Tipo de Contrato
Tiempo Completo
Descripción
Machine Learning Engineer
Perfil buscado (Hombre/Mujer)
Design and optimize deep learning models, including Large Language Models (LLMs), using advanced and quantum-inspired techniques.
Fine-tune and benchmark models for accuracy, robustness, and efficiency across diverse use cases.
Develop AI applications such as Retrieval-Augmented Generation (RAG) systems and AI agents.
Collaborate with cross-functional teams to deliver custom solutions for clients in areas like LLMs and computer vision.
Deploy models in production environments, leveraging cloud platforms and containerization technologies.
Maintain documentation and share expertise, mentoring junior team members and contributing to code reviews.
Stay updated on emerging trends in AI and recommend new tools and technologies.
Cutting-Edge Technology Impact / Fast-Scaling Deep-Tech Company
Flexible Inclusive Work Environment / Unique Financial Incentives
Holds a Bachelors, Masters, or Ph.D. in AI, Computer Science, Data Science, or a related field.
Has 2+ years of hands-on experience designing, training, and fine-tuning deep learning models, ideally with transformers or computer vision.
Strong proficiency in Python and frameworks like PyTorch, TensorFlow, HuggingFace.
Solid understanding of deep learning algorithms, GPU architectures, and LLM infrastructures.
Experienced with cloud platforms (AWS/GCP/Azure) and containerization (Docker) for deploying AI solutions.
Excellent problem-solving, debugging, and communication skills, with the ability to work in a fast-paced, collaborative environment.
Bonus: Familiarity with MLOps, HPC clusters, RAG systems, and responsible AI practices.
Our client is a fast-growing European deep-tech company, backed by leading investors, driving innovation in AI and advanced computing. They develop cutting-edge solutions that make AI faster, more efficient, and sustainable, with a strong focus on global impact and an inclusive, collaborative culture.
Competitive Salary: Starting from 45,000 annually, based on experience and qualifications.
Bonuses:
Relocation Package: Available if applicable.
Work Model: Hybrid with flexible working hours.
Additional Perks:
Opportunity to join a fast-scaling Series B deep-tech company.
International exposure in a multicultural, cutting-edge environment.
Equal pay and inclusive culture.
Python, PyTorch, TensorFlow, HuggingFace, Machine Learning, LLM,
Perfil buscado (Hombre/Mujer)
Design and optimize deep learning models, including Large Language Models (LLMs), using advanced and quantum-inspired techniques.
Fine-tune and benchmark models for accuracy, robustness, and efficiency across diverse use cases.
Develop AI applications such as Retrieval-Augmented Generation (RAG) systems and AI agents.
Collaborate with cross-functional teams to deliver custom solutions for clients in areas like LLMs and computer vision.
Deploy models in production environments, leveraging cloud platforms and containerization technologies.
Maintain documentation and share expertise, mentoring junior team members and contributing to code reviews.
Stay updated on emerging trends in AI and recommend new tools and technologies.
Cutting-Edge Technology Impact / Fast-Scaling Deep-Tech Company
Flexible Inclusive Work Environment / Unique Financial Incentives
Holds a Bachelors, Masters, or Ph.D. in AI, Computer Science, Data Science, or a related field.
Has 2+ years of hands-on experience designing, training, and fine-tuning deep learning models, ideally with transformers or computer vision.
Strong proficiency in Python and frameworks like PyTorch, TensorFlow, HuggingFace.
Solid understanding of deep learning algorithms, GPU architectures, and LLM infrastructures.
Experienced with cloud platforms (AWS/GCP/Azure) and containerization (Docker) for deploying AI solutions.
Excellent problem-solving, debugging, and communication skills, with the ability to work in a fast-paced, collaborative environment.
Bonus: Familiarity with MLOps, HPC clusters, RAG systems, and responsible AI practices.
Our client is a fast-growing European deep-tech company, backed by leading investors, driving innovation in AI and advanced computing. They develop cutting-edge solutions that make AI faster, more efficient, and sustainable, with a strong focus on global impact and an inclusive, collaborative culture.
Competitive Salary: Starting from 45,000 annually, based on experience and qualifications.
Bonuses:
Relocation Package: Available if applicable.
Work Model: Hybrid with flexible working hours.
Additional Perks:
Opportunity to join a fast-scaling Series B deep-tech company.
International exposure in a multicultural, cutting-edge environment.
Equal pay and inclusive culture.
Python, PyTorch, TensorFlow, HuggingFace, Machine Learning, LLM,