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Data Scientist, Applied AI - Remote

3 months, 1 week ago
Mexico, Argentina, Brazil, Colombia, Latin America, United States
Full-time
Senior
Data Scientist
Data Science and Analytics
Agile Apache Airflow Apache Spark AWS Azure CI/CD Confluence Deep Learning Docker GCP Generative AI GitLab CI Hadoop Jenkins JIRA Kubeflow Kubernetes LLM Machine Learning MLflow NumPy Pandas Python PyTorch Scrum Statistics Transformers
Apply Now
Azumo

Azumo

Azumo is a top-rated nearshore software development company offering world-class outsourcing solutions for web, mobile, data, AI, and cloud services with a focus on data, cloud, and AI technologies.

Internet Software & Services
51-250
Founded 2016
View All Jobs 17

Description

  • Design, train, validate, and deploy supervised and unsupervised machine learning models for use cases such as anomaly detection, classification, and forecasting.
  • Architect and implement deep learning solutions using CNNs, Transformers, and PyTorch.
  • Develop, fine-tune, and productionize Large Language Models and LLM-driven applications.
  • Build Retrieval-Augmented Generation (RAG) pipelines and integrate them with vector databases.
  • Create robust pipelines to deploy models at scale using Docker, Kubernetes, and CI/CD practices.
  • Ingest, clean, transform, and analyze large datasets using pandas, NumPy, and Spark.
  • Automate training and serving workflows with Airflow or similar orchestration tools.
  • Monitor production model performance and iterate on drift detection and retraining strategies.
  • Apply LLMOps practices for automated testing, evaluation, and monitoring of LLM systems.
  • Write production-grade Python code, participate in code reviews, and collaborate with cross-functional teams in Agile workflows.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • 5+ years of professional Python experience in production environments.
  • Solid background in machine learning and deep learning, including CNNs, Transformers, and LLMs.
  • Hands-on experience with PyTorch or similar frameworks for training, custom modules, and optimization.
  • Proven track record of deploying machine learning solutions.
  • Expertise in pandas, NumPy, and scikit-learn.
  • Familiarity with Agile/Scrum practices and tools such as JIRA and Confluence.
  • Strong foundation in statistics and experimental design.
  • Excellent written and spoken English.
  • Experience with cloud platforms such as AWS, GCP, or Azure and AI services like SageMaker, Vertex AI, or Azure Machine Learning (preferred).
  • Familiarity with big-data ecosystems such as Spark and Hadoop (preferred).
  • Experience with CI/CD and container orchestration tools such as Jenkins, GitLab CI, Docker, and Kubernetes (preferred).
  • Exposure to MLOps/LLMOps tools such as MLflow, Kubeflow, or TFX (preferred).
  • Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines (preferred).
  • Hands-on experience with vector databases such as Pinecone or FAISS (preferred).
  • Experience building AI agents and using frameworks such as Hugging Face Transformers, LangChain, or LangGraph (preferred).
  • Documentation experience using PlantUML or similar tools (preferred).
  • Professional English proficiency at B2/C1 level.
  • Based in Latin America and available for a fully remote role.

Benefits

  • Fully remote position based in Latin America.
  • Paid time off (PTO).
  • U.S. holidays.
  • Training with free Udemy Premium access.
  • Mentored career development.
  • Profit sharing.
  • USD remuneration.

Interested in this position?

Apply directly on the company website

Apply Now

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