Data Scientist, Applied AI - Latin America - Remote

Azumo is currently looking for a highly motivatedData Scientist / Machine Learning Engineerto develop and enhance our data and analytics infrastructure. The position isFULLY 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 appliedAI . If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in theGenerative AIspace, this role is perfect for you. We are seeking a skilled professional with expertise inPythonfor production-level projects, proficiency in machine learning and deep learning techniques such asCNNsandTransformers , and hands‐on experience working withPyTorch .We're looking for a versatileMachine Learning Engineer / Data Scientistto join our big‐data analytics team. In this hybrid role you'll not only design and prototype novelML/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 & ProductionizationDesign, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting).Architect and implement deep learning solutions (CNNs, Transformers) withPyTorch .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 & MLOpsIngest, clean and transform large datasets using libraries likepandas ,NumPy , andSpark .Automate training and serving workflows withAirflowor similar orchestration tools.Monitor model performance in production; iterate on drift detection and retraining strategies.ImplementLLMOpspractices for automated testing, evaluation, and monitoring of LLMs.Software Development Best PracticesWrite production‐gradePythoncode followingSOLIDprinciples, unit tests and code reviews.Collaborate inAgile (Scrum)ceremonies; track work inJIRA .Document architecture and workflows usingPlantUMLor comparable tools.Cross‐Functional CollaborationCommunicate analysis, design and results clearly in English.Partner with DevOps, data engineering and product teams to align on requirements and SLAs.AtAzumowe 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 atAzumoand 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.Based in San Francisco, California,Azumois 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 people@azumo.coMinimum QualificationsBachelor's or Master's in Computer Science, Data Science or related field.5+ yearsof professional experience withPythonin production environments.Solid background in machine learning & deep learning ( CNNs ,Transformers ,LLMs ).Hands‐on experience withPyTorchor similar frameworks (training, custom modules, optimization).Proven track record deployingML solutions .Expert inpandas ,NumPyandscikit‐learn .Familiarity withAgile/Scrumpractices and tooling ( JIRA ,Confluence ).Strong foundation instatisticsand experimental design.Excellent written and spoken English.Preferred QualificationsExperience with cloud platforms ( AWS ,GCP , orAzure ) and theirAI‐specific serviceslikeAmazon SageMaker ,Google Vertex AI , orAzure Machine Learning .Familiarity with big‐data ecosystems ( Spark ,Hadoop ).Practice inCI/CD& container orchestration ( Jenkins/GitLab CI ,Docker ,Kubernetes ).Exposure toMLOps/LLMOpstools ( MLflow ,Kubeflow ,TFX ).Experience withLarge Language Models ,Generative AI ,prompt engineering , andRAG pipelines .Hands‐on experience withvector databases(e.g.,Pinecone ,FAISS ).Experience buildingAI Agentsand using frameworks likeHugging Face Transformers ,LangChainorLangGraph .Documentation skills usingPlantUMLor similar.BenefitsPaid time off (PTO)U.S. HolidaysTrainingUdemy free Premium accessMentored career developmentProfit Sharing$US Remuneration#J-18808-Ljbffr