Empleos actuales relacionados con Data Scientist, Applied Ai - Buenos Aires - Azumo

  • Data Scientist, Applied AI

    hace 2 días

    Buenos Aires, Buenos Aires C.F., Argentina Azumo A tiempo completo

    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.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...

  • Lead Data Scientist

    hace 2 semanas

    Buenos Aires, Argentina Web: A tiempo completo

    About Fusemachines Fusemachines is an artificial intelligence talent and education solutions company dedicated to democratizing AI. Headquartered in New York, US with operations in Dominican Republic, Canada, and Nepal, it is a 200+ company. Fusemachines' AI educational program has made world-class AI education available, accessible and affordable to...

  • Lead Data Scientist

    hace 2 semanas

    Buenos Aires, Argentina Web: A tiempo completo

    About Fusemachines Fusemachines is an artificial intelligence talent and education solutions company dedicated to democratizing AI. Headquartered in New York, US with operations in Dominican Republic, Canada, and Nepal, it is a 200+ company. Fusemachines' AI educational program has made world-class AI education available, accessible and affordable to...

  • Senior Data Scientist

    hace 3 semanas

    Buenos Aires, Argentina Xometry A tiempo completo

    About Xometry Xometry’s digital marketplace connects manufacturers with buyers in Fortune 1000 companies, supporting manufacturing innovation worldwide. Senior Data Scientist We are seeking a Senior Data Scientist to join our Data Science team. This annual contract (with potential extension) will drive data science initiatives, provide technical guidance,...

  • GenAI Data Scientist: Synthetic Data

    hace 5 días

    Buenos Aires, Argentina Infosys A tiempo completo

    A global digital services leader is seeking an innovative AI Data Scientist to design synthetic data solutions that power AI workflows. The role requires proficiency in Python and experience with libraries like SDGym and Synthpop. Responsibilities include generating synthetic datasets, applying generative modeling techniques, and ensuring compliance with...

  • Data Engineer

    hace 2 semanas

    Buenos Aires, Argentina IN MOVE CONSULTING A tiempo completo

    🚀 ¡Buscamos Data Engineer / Data Scientist para construir el Data Hub desde cero! Si te apasiona transformar datos complejos en soluciones reales, escalar infraestructura y dejar huella en una organización, esta oportunidad es para vos. Estamos armando un Data Hub unificado y necesitamos a alguien con mentalidad builder , curiosidad, rigor técnico y...

  • GenAI Data Scientist: Synthetic Data

    hace 1 semana

    Buenos Aires, Argentina Infosys Limited A tiempo completo

    A leading global consulting firm is seeking a skilled AI Data Scientist to design and implement synthetic data solutions. The ideal candidate will have a strong proficiency in Python and experience with frameworks like SDGym and Pandas. In this role, you will generate high-fidelity datasets, work collaboratively with cross-functional teams, and ensure...

  • 896 Data Scientist Senior Remote LATAM

    hace 7 días

    Buenos Aires, Argentina Darwoft A tiempo completo

    Senior Data Scientist Price Elasticity & AI/ML LATAM Location: Anywhere in LATAMJob Type: RemoteProject: Retail & CPG AI InnovationTime Zone: Pacific or Central TimeEnglish Level: B2 / C1 Get to Know Us At Darwoft we build digital products with heart. We’re a Latin American tech company focused on creating impactful human-centered software in partnership...

  • Applied Data Scientist: ML in Production

    hace 1 semana

    Buenos Aires, Argentina BBVA Group A tiempo completo

    Una importante entidad financiera busca incorporar un/a Data Scientist en Buenos Aires para desarrollar modelos de Machine Learning que impacten de manera sostenible en el negocio. Este rol incluye diseñar e implementar estos modelos en producción, asegurando su escalabilidad y eficiencia, y colaborando con equipos de Business Intelligence y Arquitectura...

  • Applied AI Engineer

    hace 1 semana

    Buenos Aires, Buenos Aires C.F., Argentina Fusemachines A tiempo completo

    About FusemachinesFusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time...

Data Scientist, Applied Ai

hace 3 semanas

Buenos Aires, Argentina Azumo A tiempo completo

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.

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**.
- **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.

At **Azumo** we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at **Azumo** and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge.

**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