Data Scientist, Applied Ai - Latin America - Remote
AzumoArgentina7 days ago
Full-timeRemote FriendlyInformation Technology
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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 ResponsibilitiesDesign, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting)Architect and implement deep learning solutions (CNNs, Transformers) with PyTorchDevelop and fine-tune Large Language Models (LLMs) and build LLM-driven applicationsImplement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databasesBuild robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD)Data Engineering & MLOpsIngest, clean and transform large datasets using libraries like pandas, NumPy, and SparkAutomate training and serving workflows with Airflow or similar orchestration toolsMonitor model performance in production; iterate on drift detection and retraining strategiesImplement LLMOps practices for automated testing, evaluation, and monitoring of LLMsSoftware Development Best PracticesWrite production-grade Python code following SOLID principles, unit tests and code reviewsCollaborate in Agile (Scrum) ceremonies; track work in JIRADocument architecture and workflows using PlantUML or comparable toolsCross-Functional CollaborationCommunicate analysis, design and results clearly in EnglishPartner with DevOps, data engineering and product teams to align on requirements and SLAsAzumo is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility.
We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes.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 ****** QualificationsBachelor\'s or Master\'s in Computer Science, Data Science or related field5+ years of professional experience with Python in production environmentsSolid 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 solutionsExpert in pandas, NumPy and scikit-learnFamiliarity with Agile/Scrum practices and tooling (JIRA, Confluence)Strong foundation in statistics and experimental designExcellent written and spoken EnglishPreferred QualificationsExperience with cloud platforms (AWS, GCP, or Azure) and their AI-specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine LearningFamiliarity 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 pipelinesHands-on experience with vector databases (e.g., Pinecone, FAISS)Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraphDocumentation skills using PlantUML or similarBenefitsPaid time off (PTO)U.S. HolidaysTrainingUdemy free Premium accessMentored career developmentProfit Sharing$US Remuneration
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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 ResponsibilitiesDesign, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting)Architect and implement deep learning solutions (CNNs, Transformers) with PyTorchDevelop and fine-tune Large Language Models (LLMs) and build LLM-driven applicationsImplement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databasesBuild robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD)Data Engineering & MLOpsIngest, clean and transform large datasets using libraries like pandas, NumPy, and SparkAutomate training and serving workflows with Airflow or similar orchestration toolsMonitor model performance in production; iterate on drift detection and retraining strategiesImplement LLMOps practices for automated testing, evaluation, and monitoring of LLMsSoftware Development Best PracticesWrite production-grade Python code following SOLID principles, unit tests and code reviewsCollaborate in Agile (Scrum) ceremonies; track work in JIRADocument architecture and workflows using PlantUML or comparable toolsCross-Functional CollaborationCommunicate analysis, design and results clearly in EnglishPartner with DevOps, data engineering and product teams to align on requirements and SLAsAzumo is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility.
We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes.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 ****** QualificationsBachelor\'s or Master\'s in Computer Science, Data Science or related field5+ years of professional experience with Python in production environmentsSolid 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 solutionsExpert in pandas, NumPy and scikit-learnFamiliarity with Agile/Scrum practices and tooling (JIRA, Confluence)Strong foundation in statistics and experimental designExcellent written and spoken EnglishPreferred QualificationsExperience with cloud platforms (AWS, GCP, or Azure) and their AI-specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine LearningFamiliarity 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 pipelinesHands-on experience with vector databases (e.g., Pinecone, FAISS)Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraphDocumentation skills using PlantUML or similarBenefitsPaid time off (PTO)U.S. HolidaysTrainingUdemy free Premium accessMentored career developmentProfit Sharing$US Remuneration
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