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Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. This is a fully remote position based in Latin America. Join a dynamic team of data scientists working on big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, especially in the generative AI space, this role is perfect for you. You will collaborate closely with data engineers, software developers, and product owners to build high‑quality, scalable, and maintainable systems. Key Responsibilities Design, train, and validate supervised and unsupervised models, including anomaly detection, classification, and 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 them with vector databases. Build robust pipelines to deploy models at scale using Docker, Kubernetes, and CI/CD processes. Ingest, clean, and transform large datasets using pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production, iterating 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 and 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. 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 such as Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. Familiarity with big‑data ecosystems (Spark, Hadoop). Experience 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 Job Details Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Referrals increase your chances of interviewing at Azumo by 2x. Based in San Francisco, California, Azumo is an innovative software development firm that helps 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. We prioritize professional and personal growth, learning new technologies, and giving back to the community. If you are qualified for this opportunity and looking for a challenge, please apply online at Azumo/join-our-team or connect with us at ******. #J-18808-Ljbffr
