Data Scientist - Latin America - Remote

OverviewAzumo is currently looking for a highly motivated Data Scientist to develop and enhance 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.

If you have a passion for designing and implementing advanced machine learning and deep learning models, this role is perfect for you.

We are seeking a skilled Data Scientist with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and 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 ResponsibilitiesModel Development & ProductionizationDesign, train and validate supervised and unsupervised models (e.g. anomaly detection, classification, forecasting)Architect and implement deep learning solutions (CNNs, Transformers) with PyTorchBuild robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD)Data Engineering & MLOpsIngest, clean and transform large datasets using pandas, NumPy, SparkAutomate training and serving workflows with Airflow or similarMonitor model performance in production; iterate on drift detection and retraining strategiesSoftware Development Best PracticesWrite production-grade Python code following SOLID principles, unit tests and code reviewsCollaborate in Agile (Scrum) ceremonies; track work in JIRACross-Functional CollaborationCommunicate analysis, design and results clearly in EnglishPartner with DevOps, data engineering and product teams to align on requirements and SLAsAbout AzumoAt 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.Based in San Francisco, California, Azumo 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.How to applyIf you are qualified for the opportunity and looking for a challenge please apply online at 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)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): S3, EC2, SageMaker, etc.Familiarity with big-data ecosystems (Spark, Hadoop)Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes)Exposure to MLOps tools (MLflow, Kubeflow, TFX)Experience with large language models and prompt engineeringDocumentation skills using PlantUML or similarBenefitsPaid time off (PTO)U.S. HolidaysTrainingUdemy free Premium accessMentored career developmentFree English CoursesProfit Sharing$US Remuneration

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