Data Scientist, Applied Ai – Latin America – Remote

hace 2 semanas

Santiago del Estero, Argentina Azumo A tiempo completo

Data Scientist, Applied AI – Latin America – Remote Company: Azumo (Based in San Francisco, California) Fully remote, based in Latin America. Role focuses on big‑data analytics, applied AI, generative AI and LLMs. Position is full‑time and mid‑senior level. Key Responsibilities Design, train, 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 pandas, NumPy, Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; manage drift detection and retraining strategies. Apply LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Write production‑grade Python code following SOLID principles, unit tests, and code reviews. Participate 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. Requirements 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 AI services (SageMaker, Vertex AI, Azure ML). Big‑data ecosystem experience (Spark, Hadoop). CI/CD and container orchestration (Jenkins/GitLab, Docker, Kubernetes). MLOps & LLMOps tools (MLflow, Kubeflow, TFX). Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Vector databases (Pinecone, FAISS). AI Agents frameworks (Hugging Face Transformers, LangChain, 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. Application Apply online at Azumo/join-our-team or contact the recruiting team. Referrals are encouraged. #J-18808-Ljbffr

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