Imagen institucional
Imagen institucional

ML Engineer – Deep Learning ( Remote-USD)

Capital Federal, Capital Federal, Argentina

Tecnología, Sistemas y Telecomunicaciones/Tecnologia / Sistemas

Full-time
Remoto

Hace 1 mes

Postularse

Hace 1 mes

Capital Federal, Capital Federal, Argentina

Tecnología, Sistemas y Telecomunicaciones/Tecnologia / Sistemas

Full-time
Remoto

Hace 1 mes

Postularse
Descripción del puesto

We are looking for a talented and highly motivated Machine Learning Engineer with a strong background in Deep Learning to work on cutting-edge AI solutions, including computer vision, natural language processing, and generative models.

Responsibilities:

  • Design, develop, and deploy end-to-end machine learning solutions.

  • Participate in research and the design of innovative tools, architectures, and models.

  • Work with advanced technologies including NLP, computer vision, LLMs, recommender systems, and generative models for images and video.

  • Propose and implement new tools, frameworks, and methodologies.

  • Collaborate on projects involving edge devices (Jetson, Raspberry Pi), object tracking, and the latest ML frameworks like LangChain, Diffusers, and TensorRT.

  • Contribute to a collaborative, agile (Scrum) work environment.

Requisitos

  • Previous experience in software development roles.

  • Strong knowledge of machine learning techniques and algorithms.

  • Hands-on experience in at least one of the following areas: NLP, computer vision, LLMs, or predictive analytics.

  • Proficiency in Python and tools such as TensorFlow, Docker, SQL, Git, and cloud platforms (AWS, GCP, or Azure).

  • Advanced English (written and spoken).

  • Strong communication skills, proactivity, and a passion for learning.

  • Teamwork-oriented mindset and adaptability to dynamic environments.

Nice to have:

  • Experience with PyTorch and DevOps practices.

  • Familiarity with Raspberry Pi or Jetson devices.

  • Experience leading technical teams.

Beneficios

  • Remote work
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)
  • 20 working days of vacation
  • And more!

Nosotros

Uruguayan-based company focused on software development using machine learning, working on challenging projects in areas such as computer vision, natural language processing, and recommendation systems.

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