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Data Scientist, Applied AI – Latin America – Remote at Azumo Join Azumo, a forward‑looking software development firm based in San Francisco, California, as we expand our big‑data analytics and applied AI capabilities for clients across North America. This fully remote opportunity is open to professionals based in Latin America. About the Role As a Data Scientist / Machine Learning Engineer, you will design, prototype, and productionize advanced machine learning, deep learning, and Large Language Model (LLM) solutions. You will collaborate with data engineers, software developers, product owners, and DevOps to integrate ML models into robust, scalable data pipelines. Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions using CNNs and 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 using Docker, Kubernetes, and CI/CD. Data Engineering & MLOps Ingest, clean, and transform large datasets with pandas, NumPy, and Spark. Automate training and serving workflows using Airflow or similar orchestration tools. Monitor model performance in production and iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production‑grade Python code following SOLID principles, with unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies and 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. Minimum Qualifications Bachelor's or Master’s in Computer Science, Data Science, or a 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. Expertise 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 (e.g., Amazon SageMaker, Google Vertex AI, 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 Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Information Technology Industry Software Development To apply, visit our website at Azumo/join‑our‑team or contact ****** . #J-18808-Ljbffr
