Deep Learning Engineer for Language Technologies

Master's Degree in Deep Learning, NLP or related, Essential skills: Good knowledge of Python, Linux, machine learning techniques, Deep Learning, LLMs training. - Additional skills: - Published research on LLMs. - Mathematics/statistics for ML. - Experience in LLMs post-training methods and pipelines. - Textual synthetic data generation. - Broad AI knowledge. - Knowledge of HPC workload managers (e.g., Slurm). - CI/CD tools such as GitHub, Singularity. - Basic knowledge of C++, Matlab, Java. - ML frameworks: PyTorch, Tensorflow, Pandas, Scikit-learn, Numpy. - GPU-based computing and multi-GPU/multi-node parallelization. - Fluency in Spanish and English; knowledge of a second Spanish co-official language is valued. - Competences: Ability to pursue new research lines, good communication & presentation skills, teamwork and pair programming. Conditions & Benefits - Full-time contract (35 h/week), open-ended. - Flexibility, extensive training plan, restaurant tickets, private

health insurance, relocation support. - Holidays: 22 days + 6 personal days + 24th & 31st December per collective agreement. - Competitive salary commensurate with qualifications. Equal Opportunity Statement BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law. J-18808-Ljbffr