Data Scientist, Applied AI

Overview

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 will provide you the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI . If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is a good fit for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in ML/DL techniques such as CNNs and Transformers , and hands-on experience working with PyTorch .

We\'re looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data analytics team. In this hybrid role you\'ll design and prototype novel ML/DL models , and productionize them end-to-end, integrating your solutions into our data pipelines and services. You\'ll work closely with data engineers, software developers and product owners to ensure high-quality, scalable, maintainable systems.

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)

Data Engineering & MLOps

• Ingest, clean and transform large datasets using libraries like 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

Software Development Best Practices

• 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

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

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 (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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other
• Industries: IT Services and IT Consulting

We are open to applications from candidates who can contribute to Azumo\'s growth and values. 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

---