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'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
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