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Vacantes en Mexicali, México

Senior Machine Learning & LLM Engineer - Remote Work | REF#283568

Senior Machine Learning & LLM Engineer - Remote Work | REF#283568
BairesDev
Mexicali
A distancia
USD 60.000 - 100.000
Vacante urgente
Hoy
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Senior Machine Learning Developer |LATAM| - Remote Work | REF#152560

Senior Machine Learning Developer |LATAM| - Remote Work | REF#152560
BairesDev
Mexicali
A distancia
USD 70.000 - 100.000

Puestos destacados:

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Empresas destacadas:

Empleos en Grupo MexicoEmpleos en Grupo MasEmpleos en CklassEmpleos en Banco Del BienestarEmpleos en BbvaEmpleos en CoppelEmpleos en TeslaEmpleos en Coca ColaEmpleos en LiverpoolEmpleos en Amazon

Ciudades destacadas:

Trabajos en Ciudad De MexicoTrabajos en GuadalajaraTrabajos en MonterreyTrabajos en TijuanaTrabajos en MexicaliTrabajos en Ciudad JuarezTrabajos en QueretaroTrabajos en PueblaTrabajos en San Luis PotosiTrabajos en Zapopan

Senior Machine Learning & LLM Engineer - Remote Work | REF#283568

Sé de los primeros solicitantes.
BairesDev
Mexicali
A distancia
USD 60,000 - 100,000
Sé de los primeros solicitantes.
Ayer
Descripción del empleo

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.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Senior Machine Learning & LLM Engineer at BairesDev

We are looking for a Senior Machine Learning & LLM Engineer to lead and guide the development of innovative machine learning models and large language models (LLMs). Your expertise and vision will shape cutting-edge AI solutions, collaborating closely with a high-performing team to create impactful applications.

What You’ll Do

  • Design, develop, and optimize machine learning models and LLMs for various applications.
  • 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!
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* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.

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