Data Scientist, Applied Ai – Latin America – Remote

Data Scientist, Applied AI – Latin America – Remote Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. In this hybrid role you will design, prototype, productionize advanced machine learning and deep learning models and integrate them into our data pipelines and services. You will work closely with data engineers, software developers, product owners and cross‑functional teams 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 & Implement Deep Learning Solutions (CNNs, Transformers) with PyTorch. Large Language Models (LLMs) Develop and fine‑tune LLMs and build LLM‑driven applications. Retrieval‑Augmented Generation (RAG) Implement pipelines and integrate with vector databases. Model Deployment Pipelines Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Data Engineering & MLOps Ingest, clean and transform large datasets using pandas, NumPy, and Spark. Workflow Automation Automate training and serving workflows with Airflow or similar orchestration tools. Model Monitoring Monitor performance in production; iterate on drift detection and retraining strategies. LLMOps Practices Implement automated testing, evaluation, and monitoring for LLMs. Software Development Best Practices Write production‑grade Python code following SOLID principles, unit tests and code reviews. Agile Collaboration Participate in Scrum ceremonies; track work in JIRA. Documentation 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. Growth & Community Support Azumo’s culture of excellence, professional development and community contribution. 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, LLMs). Hands‑on experience with PyTorch or similar frameworks. 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, Azure) and their AI‑specific services. Familiarity with big‑data ecosystems (Spark, Hadoop). Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Hands‑on experience with vector databases (e.g., Pinecone, FAISS). Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit sharing $US Remuneration 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 ****** . #J-18808-Ljbffr