Data Scientist - Latin America
Data Scientist - Latin America
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1 Vacancy
Job Description
Azumo 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.
Were looking for a versatileMachine Learning Engineer / Data Scientistto join our big-data analytics this hybrid role youll 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. Youll 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
- Build robust pipelines to deploy models at scale (Docker Kubernetes CI/CD)
Data Engineering & MLOps
- Ingest clean and transform large datasets using pandas NumPy Spark
Automate training and serving workflows with Airflow or similar
- Monitor model performance in production; iterate on drift detection and retraining strategies
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.
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.
If you are qualified for the opportunity and looking for a challenge please apply online at or connect with us at
Requirements
Minimum Qualifications
- Bachelors or Masters in Computer Science Data Science or related field
- 5 yearsof professional experience with Python in production environments
- Solid 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 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 withcloud platforms(AWS GCP or Azure): S3 EC2 SageMaker etc.
- Familiarity withbig-data ecosystems(Spark Hadoop)
- Practice inCI/CD & container orchestration(Jenkins/GitLab CI Docker Kubernetes)
- Exposure toMLOps tools(MLflow Kubeflow TFX)
- Experience withlarge language modelsand prompt engineering
- Documentation skills usingPlantUMLor similar
Benefits
- Paid time off (PTO)
- U.S. Holidays
- Training
- Udemy free Premium access
- Mentored career development
- Free English Courses
- Profit Sharing
- $US Remuneration
Employment Type
Full-Time
