Data Scientist, Applied AI - Remote

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. Professional English proficiency (B2/C1)

This position will provide you with 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 perfect for you. We are seeking a skilled professional with expertise in ** Python for production-level projects, proficiency in machine learning and deep learning 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 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

Based in San Francisco, California, Azumo is an innovative software development firm 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 the 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