Remote - Argentina Full Time Mid Level
Published on September 02, 2026
Azumo
@azumohq azumo.com
Based in San Francisco, we are an innovative nearshore software development company helping organizations build intelligent apps using the latest technologies in web, mobile, AI, data and cloud. We are passionate about solving problems for customers around the globe. You can learn more about us at Azumo.comOur clients are in the US, our teams are all around Latin American and Caribbean states. At Azumo, you'll discover cool people who love modern technologies and are in constant pursuit of professional growth and excellence.Email us at people@azumo.co or chat with us at @azumohq
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 people@azumo.co
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
link-tracker#track" rel="nofollow" href="https://apply.workable.com/azumo/j/BDFC7FF4CB/apply?ref=jobsinpython.com&referer=jobsinpython.com&referrer=jobsinpython.com&source=jobsinpython.com&utm_medium=jobsinpython.com&utm_source=jobsinpython.com">Apply For This Job
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Azumo
@azumohq azumo.com
Based in San Francisco, we are an innovative nearshore software development company helping organizations build intelligent apps using the latest technologies in web, mobile, AI, data and cloud. We are passionate about solving problems for customers around the globe. You can learn more about us at Azumo.comOur clients are in the US, our teams are all around Latin American and Caribbean states. At Azumo, you'll discover cool people who love modern technologies and are in constant pursuit of professional growth and excellence.Email us at people@azumo.co or chat with us at @azumohq
link-tracker#track" rel="nofollow" href="https://apply.workable.com/azumo/j/BDFC7FF4CB/apply?ref=jobsinpython.com&referer=jobsinpython.com&referrer=jobsinpython.com&source=jobsinpython.com&utm_medium=jobsinpython.com&utm_source=jobsinpython.com">Apply For This Job
Skill Stack
- Git
- Docker
- AI
- Python
- LLMOps
- LLMs
- PyTorch
- RAG
- Fine-tuning
- MLOps
- Pandas
- NumPy
- Transformers
- AWS
- Machine Learning
- Spark
- Pinecone
- Airflow
- FAISS
- Kubeflow
- Kubernetes
- LangGraph
- LangChain
- Hugging Face
- Vertex AI
- SageMaker
- scikit-learn
- MLflow
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Data Scientist, Applied AI - Remote
Remote - Argentina Full Time Mid Level
Published on September 02, 2026
Azumo
@azumohq azumo.com
Based in San Francisco, we are an innovative nearshore software development company helping organizations build intelligent apps using the latest technologies in web, mobile, AI, data and cloud. We are passionate about solving problems for customers around the globe. You can learn more about us at Azumo.comOur clients are in the US, our teams are all around Latin American and Caribbean states. At Azumo, you'll discover cool people who love modern technologies and are in constant pursuit of professional growth and excellence.Email us at people@azumo.co or chat with us at @azumohq
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.
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
link-tracker#track" rel="nofollow" href="https://apply.workable.com/azumo/j/BDFC7FF4CB/apply?ref=jobsinpython.com&referer=jobsinpython.com&referrer=jobsinpython.com&source=jobsinpython.com&utm_medium=jobsinpython.com&utm_source=jobsinpython.com">Apply For This Job
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Based in San Francisco, we are an innovative nearshore software development company helping organizations build intelligent apps using the latest technologies in web, mobile, AI, data and cloud. We are passionate about solving problems for customers around the globe. You can learn more about us at Azumo.comOur clients are in the US, our teams are all around Latin American and Caribbean states. At Azumo, you'll discover cool people who love modern technologies and are in constant pursuit of professional growth and excellence.Email us at people@azumo.co or chat with us at @azumohq
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.
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
Based in San Francisco, we are an innovative nearshore software development company helping organizations build intelligent apps using the latest technologies in web, mobile, AI, data and cloud. We are passionate about solving problems for customers around the globe. You can learn more about us at Azumo.comOur clients are in the US, our teams are all around Latin American and Caribbean states. At Azumo, you'll discover cool people who love modern technologies and are in constant pursuit of professional growth and excellence.Email us at people@azumo.co or chat with us at @azumohq
Skill Stack
- Git
- Docker
- AI
- Python
- LLMOps
- LLMs
- PyTorch
- RAG
- Fine-tuning
- MLOps
- Pandas
- NumPy
- Transformers
- AWS
- Machine Learning
- Spark
- Pinecone
- Airflow
- FAISS
- Kubeflow
- Kubernetes
- LangGraph
- LangChain
- Hugging Face
- Vertex AI
- SageMaker
- scikit-learn
- MLflow
Related Jobs
Sonatype
Canada
New
New
- Lead Software Engineer (Team Lead)
CSC Generation
US, Canada
New
New
Dehazelabs
India
₹216K - ₹420K Yearly
New
New
- Python Backend Engineer - Latin America - Remote
Azumo
Argentina
New
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- AI Software Engineer - Remote
Azumo
Argentina
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