Data Scientist

3 semanas atrás

Buenos Aires Espírito Santo Brazil Azumo Tempo inteiro

3 weeks ago Be among the first 25 applicants

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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.

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
  • 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 https://azumo.workable.com 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)
  • 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): 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 engineering
  • Documentation skills using PlantUML or similar

Benefits
  • Paid time off (PTO)
  • U.S. Holidays
  • Training
  • Udemy free Premium access
  • Mentored career development
  • Free English Courses
  • Profit Sharing
  • $US Remuneration
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionOther
  • IndustriesIT Services and IT Consulting

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