20 feb
BairesDev
Villa Aldama
At BairesDev®, we've been leading the way in technology projects for over 15 years.
We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.Senior Machine Learning & LLM Engineer at BairesDevWhat You'll Do:- Lead and mentor a team of developers, fostering innovation and best practices.- Collaborate with cross-functional teams to define, design, and implement AI-driven solutions.- Perform in-depth data analysis and preprocessing, ensuring high data quality for model training.- Stay current with the latest advancements in ML, NLP,
and AI technologies.- Ensure model scalability, performance, and security through rigorous testing and optimization.What we are looking for:- 4+ years of experience in machine learning, AI, or related fields.- Advanced expertise in Python and ML frameworks (e.G., TensorFlow, PyTorch, scikit-learn).- Strong knowledge of NLP and LLM technologies.- Proven track record in data preprocessing, feature engineering, and model optimization.- Solid experience with code reviews, CI/CD processes, and scalable AI systems.- Demonstrated ability to lead technical teams and communicate complex concepts effectively.- Advanced level of English.How we do make your work (and your life) easier:- 100% remote work (from anywhere).- Excellent compensation in USD or your local currency if preferred- Hardware and software setup for you to work from home.- Flexible hours: create your own schedule.- Paid parental leaves, vacations, and national holidays.- Innovative and multicultural work environment:
collaborate and learn from the global Top 1% of talent.- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.Join a global team where your unique talents can truly thrive!
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.