13 publicaciones de empleo destacadas de data scientist en b (¡Están contratando!)

AI Software Engineer - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Sr Revenue Management Analyst B2C
Despegar —Buenos Aires, Buenos Aires
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Azure Databricks Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Azure Databricks Engineer
Capgemini —Buenos Aires, Buenos Aires
Lead Conceptual Designer - Product / UI
Beyond —Buenos Aires, Buenos Aires
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Senior Machine Learning Engineer
GoFundMe —Capital Federal, Buenos Aires
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Sr Mainframe Automation Engineer
Capgemini —Buenos Aires, Buenos Aires
Economics of AI Research Sr. Analyst
Accenture —Buenos Aires, Buenos Aires
- Tiempo completo
Software Engineer, Data Infrastructure & Acquisition - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
Senior, Java Software Engineer
Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
Sr Mainframe Automation Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
Científico de Datos - Especialista en Machine Learning y Cloud MLOps
MaxIT Consulting - Max Corporate Group —Capital Federal, Buenos Aires
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AI Software Engineer - Remote

Azumo -
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

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AI Software Engineer (Generative AI)

Azumo, a leading AI Development company, is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers. We specialize in delivering Top AI Development services, helping organizations build intelligent applications powered by Generative AI, large language models (LLMs), and advanced automation.

As part of our team, you will collaborate with engineers, data scientists, and domain experts across SaaS, cloud, and big data environments. You will work on cutting-edge AI software development services, translating research into production-ready solutions that drive real-world impact for global clients.

At Azumo, you’ll thrive if you enjoy the full lifecycle of Generative AI development—from ideation and prototyping to deployment, monitoring, and scaling intelligent applications.

Responsibilities in AI Development

Research, design, and build production-grade Generative AI and intelligent automation solutions using LLMs, RAG pipelines, and vector databases.
Lead full-cycle development: data preparation, model fine-tuning, evaluation, optimization, containerization, and secure cloud deployment (Azure/AWS).
Implement MLOps/LLMOps pipelines for automated testing, monitoring, and rollback.
Apply Responsible AI practices and compliance standards (e.g., NIST RMF, FedRAMP) throughout solution delivery.
Translate business and mission requirements into technical designs; prototype and iterate quickly with stakeholders.
Contribute to Azumo’s innovation roadmap by identifying research topics, publishing insights, and advancing our AI software development services portfolio.

About Azumo

Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.

At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.

If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at [email protected]

Requirements

Basic Qualifications:

Bachelor’s Degree in Computer Science, Data Science, or related field (Master’s is a plus).
3+ years of experience developing and deploying ML, NLP, or Generative AI systems.
Expert-level skills in Python and software engineering fundamentals (data structures, testing, CI/CD, Git, containers).
Hands-on experience with AI development tools: PyTorch, TensorFlow, LangChain, LangGraph, and vector databases (Pinecone, FAISS, Azure AI Search).
Proven cloud deployment experience (Azure preferred; AWS acceptable).
Familiarity with DevOps/Infrastructure as Code (GitHub Actions, Terraform/Bicep, Docker/Kubernetes).
Strong written and verbal communication skills to explain technical concepts to diverse audiences.
Professional English proficiency (B2/C1)

Preferred Qualifications:

Experience with compliance frameworks relevant to AI software development services (e.g., NIST, FedRAMP).
Contributions to research papers, open-source libraries, or AI communities.

Benefits

Paid time off (PTO)
U.S. Holidays
Training
Udemy free Premium access
Mentored career development
Profit Sharing
$US Remuneration

Postulación rápida

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data scientist empleos en b

AI Software Engineer - Remote

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Azure Databricks Engineer

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Senior Machine Learning Engineer

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Software Engineer, Data Infrastructure & Acquisition - Buenos Aires, Argentina

Senior, Java Software Engineer

Sr Mainframe Automation Engineer

Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina

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