3.111 Ofertas de Deep Learning en Argentina

ML Engineer - Deep Learning ( Remote-USD)

BairesHR

Hoy

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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.
  • 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.
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)

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.

#J-18808-Ljbffr

Lo sentimos, este trabajo no está disponible en su región

ML Engineer – Deep Learning ( Remote-USD)

Neuquén BairesHR

Publicado hace 4 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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.
  • 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.
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)

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.

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región

ML Engineer – Deep Learning ( Remote-USD)

Santa Fe, Santa Fe BairesHR

Publicado hace 4 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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.
  • 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.
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)

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.

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región

ML Engineer – Deep Learning ( Remote-USD)

Santa Fe, Santa Fe BairesHR

Publicado hace 7 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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.
  • 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.
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)

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.

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región

ML Engineer – Deep Learning ( Remote-USD)

BairesHR

Publicado hace 7 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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.
  • 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.
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)

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.

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región

ML Engineer – Deep Learning ( Remote-USD)

Tortuguitas BairesHR

Publicado hace 7 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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.
  • 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.
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)

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.

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región

ML Engineer – Deep Learning ( Remote-USD)

Quilmes, Buenos Aires BairesHR

Publicado hace 7 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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.
  • 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.
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)

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.

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región
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ML Engineer – Deep Learning ( Remote-USD)

BairesHR

Publicado hace 7 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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.
  • 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.
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)

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.

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región

ML Engineer – Deep Learning ( Remote-USD)

Santa Fe, Santa Fe BairesHR

Publicado hace 7 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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.
  • 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.
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)

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.

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región

ML Engineer – Deep Learning ( Remote-USD)

Corrientes, Corrientes BairesHR

Publicado hace 7 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

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.
  • 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.
  • Salary in USD (contractor) or uruguayan pesos in Uruguay (dependent relationship)

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.

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región
 

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  2. workAdministrativo
  3. ecoAgricultura y Silvicultura
  4. restaurantAlimentos y Restaurantes
  5. apartmentArquitectura
  6. paletteArte y Cultura
  7. diversity_3Asistencia Social
  8. directions_carAutomoción
  9. flight_takeoffAviación
  10. account_balanceBanca y Finanzas
  11. spaBelleza y Bienestar
  12. shopping_bagBienes de consumo masivo (FMCG)
  13. point_of_saleComercial y Ventas
  14. shopping_cartComercio Electrónico y Medios Sociales
  15. shopping_cartCompras
  16. constructionConstrucción
  17. supervisor_accountConsultoría de Gestión
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  20. brushCreativo y Digital
  21. currency_bitcoinCriptomonedas y Blockchain
  22. health_and_safetyCuidado de la Salud
  23. schoolEducación y Formación
  24. boltEnergía
  25. medical_servicesEnfermería
  26. biotechFarmacéutico
  27. manage_accountsGestión
  28. checklist_rtlGestión de Proyectos
  29. child_friendlyGuarderías y Educación Infantil
  30. local_gas_stationHidrocarburos
  31. beach_accessHostelería y Turismo
  32. codeInformática y Software
  33. foundationIngeniería Civil
  34. electrical_servicesIngeniería Eléctrica
  35. precision_manufacturingIngeniería Industrial
  36. buildIngeniería Mecánica
  37. scienceIngeniería Química
  38. handymanInstalación y Mantenimiento
  39. smart_toyInteligencia Artificial y Tecnologías Emergentes
  40. scienceInvestigación y Desarrollo
  41. gavelLegal
  42. clean_handsLimpieza y Saneamiento
  43. inventory_2Logística y Almacenamiento
  44. factoryManufactura y Producción
  45. campaignMarketing
  46. local_hospitalMedicina
  47. perm_mediaMedios y Relaciones Públicas
  48. constructionMinería
  49. sports_soccerOcio y Deportes
  50. medical_servicesOdontología
  51. schoolPrácticas
  52. emoji_eventsRecién Graduados
  53. groupsRecursos Humanos
  54. securitySeguridad de la Información
  55. local_policeSeguridad y Vigilancia
  56. policySeguros
  57. support_agentServicio al Cliente
  58. home_workServicios Inmobiliarios
  59. diversity_3Servicios Sociales
  60. wifiTelecomunicaciones
  61. psychologyTerapia
  62. local_shippingTransporte
  63. storeVenta al por menor
  64. petsVeterinaria
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