20 publicaciones de empleo destacadas de software engineer, robotics en recoleta buenos aires (¡Están contratando!)

Data Scientist, Applied AI - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
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The Ritz-Carlton Yacht Collection —Buenos Aires, Buenos Aires
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Betsson Group —Buenos Aires, Buenos Aires
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Sezzle —Buenos Aires, Buenos Aires
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Medallia —Buenos Aires, Buenos Aires
- Tiempo completo
1d
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Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
Computer Vision DATA Engineer - Fully Remote USD - Latin America based
Glacier —Buenos Aires, Buenos Aires
- Tiempo completo
Python Coding Specialist - Freelance AI Trainer Project
Meridial —Buenos Aires, Buenos Aires
- Por contrato
Data Engineer - Latin America - Remote
Azumo —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Data Engineer – Data Platforms & AI Tooling (Remote, LATAM)
ITX Corp —Buenos Aires, Buenos Aires
- Tiempo completo
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1d
Fullstack JavaScript Developer - Latin America - Remote
Azumo —Buenos Aires, Buenos Aires
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Analista IA (SSR/SR) – Python / Automatización / MAISA (Híbrido, CABA) | 171792
Talent Connect —Capital Federal, Buenos Aires
ARG - Technical Implementation & Support Engineer
Tidal —Buenos Aires, Buenos Aires
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Senior Software Engineer (Flask/React) - Remote, Latin America
Bluelight Consulting —Buenos Aires, Buenos Aires
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9d
Senior Software Engineer- Backend, Python
Beyond —Buenos Aires, Buenos Aires
- Tiempo completo
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Full Stack Engineer (AI and Agents)
Hire Overseas —Buenos Aires, Buenos Aires
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4d

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Data Scientist, Applied AI - Remote

Azumo -
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Tiempo completo

Descripción completa del empleo

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1)

This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands-on experience working with PyTorch.

We’re looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data analytics team. In this hybrid role you’ll not only design and prototype novel ML/DL models, but also productionize them end-to-end, integrating your solutions into our data pipelines and services. You’ll work closely with data engineers, software developers and product owners to ensure high-quality, scalable, maintainable systems.

Key Responsibilities

Model Development & Productionization

Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting).
Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch.
Develop and fine-tune Large Language Models (LLMs) and build LLM-driven applications.
Implement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databases.
Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD).

Data Engineering & MLOps

Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark.
Automate training and serving workflows with Airflow or similar orchestration tools.
Monitor model performance in production; iterate on drift detection and retraining strategies.
Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs.

Software Development Best Practices

Write production-grade Python code following SOLID principles, unit tests and code reviews.
Collaborate in Agile (Scrum) ceremonies; track work in JIRA.
Document architecture and workflows using PlantUML or comparable tools.

Cross-Functional Collaboration

Communicate analysis, design and results clearly in English.
Partner with DevOps, data engineering and product teams to align on requirements and SLAs.

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

Minimum Qualifications

Bachelor’s or Master’s in Computer Science, Data Science or related field.
5+ years of professional experience with Python in production environments.
Solid background in machine learning & deep learning (CNNs, Transformers, LLMs).
Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization).
Proven track record deploying ML solutions.
Expert in pandas, NumPy and scikit-learn.
Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence).
Strong foundation in statistics and experimental design.
Excellent written and spoken English.

Preferred Qualifications

Experience with cloud platforms (AWS, GCP, or Azure) and their AI-specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning.
Familiarity with big-data ecosystems (Spark, Hadoop).
Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes).
Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX).
Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines.
Hands-on experience with vector databases (e.g., Pinecone, FAISS).
Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph.
Documentation skills using PlantUML or similar.

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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Quiero recibir la alerta de empleo más reciente para software engineer, robotics en recoleta buenos aires

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