Data Scientist Applied AI

Data Scientist Applied AI

Azumo is seeking a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. This position is FULLY REMOTE, based in Latin America, requiring professional English proficiency (B2/C1).

This role offers the opportunity to collaborate with a dynamic team and talented data scientists in 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 perfect for you. We seek a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques like CNNs and Transformers, and hands-on experience with PyTorch.

As a versatile Machine Learning Engineer / Data Scientist, you will join our big-data analytics team. In this role, you’ll not only design and prototype novel ML/DL models but also 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

Model Development & Productionization

• 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.

About Azumo

Azumo is an innovative software development firm based in San Francisco, California, specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.

At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives, and sharing our knowledge.

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 people@azumo.co.

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

Key skills/competency

• Data Scientist
• Applied AI
• Machine Learning
• Deep Learning
• Generative AI
• LLMs
• Python
• PyTorch
• MLOps
• Data Engineering