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. This role offers the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you are passionate about designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We seek a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands‑on experience working with PyTorch. Key Responsibilities Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. Develop and fine‑tune Large Language Models (LLMs) and build LLM‑driven applications. Implement Retrieval‑Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Ingest, clean and transform large datasets using libraries such as pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. 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. Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. 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 (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) and their AI‑specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. 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 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 Azumo/join‑our‑team or connect with us at ****** #J-*****-Ljbffr #J-18808-Ljbffr