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Key ResponsibilitiesModel Development & ProductionizationDesign, train, and validate both supervised and unsupervised models (e.g., anomaly detection, classification, forecasting).Architect and implement deep learning solutions (CNNs, Transformers) utilizing PyTorch.Develop and fine-tune Large Language Models (LLMs) and create LLM-driven applications.Implement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databases.Construct robust pipelines to deploy models at scale using Docker, Kubernetes, and CI/CD.Data Engineering & MLOpsIngest, clean, and transform large datasets leveraging 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.Adopt LLMOps practices for automated testing, evaluation, and monitoring of LLMs.Software Development Best PracticesWrite production-grade Python code adhering to SOLID principles, conduct unit tests and code reviews.Participate in Agile (Scrum) ceremonies; track work in JIRA.Document architecture and processes to maintain clarity and transparency.
About the job
Join Azumo, a forward-thinking company, as we seek a passionate Data Scientist / Machine Learning Engineer to enhance our data and analytics framework. This is a FULLY REMOTE position, with a preference for candidates based in Latin America. Proficiency in English at a B2/C1 level is required.
In this role, you will collaborate with a vibrant team of skilled data scientists specializing in big data analytics and applied AI. If you are eager to design and implement cutting-edge machine learning and deep learning models, especially in the Generative AI domain, this position is tailored for you. We are looking for a professional adept in Python for production-level initiatives, with a strong background in machine learning and deep learning techniques including CNNs and Transformers, and practical experience with PyTorch.
As a versatile Machine Learning Engineer / Data Scientist, you will not only conceptualize and prototype innovative ML/DL models but also deploy them end-to-end, seamlessly integrating your solutions into our data architectures and services. You will collaborate closely with data engineers, software developers, and product owners to ensure the development of high-quality, scalable, and maintainable systems.
About Azumo
Azumo is a pioneering organization dedicated to leveraging advanced data analytics and AI technologies. Our team is composed of innovative professionals passionate about utilizing big data to create impactful solutions.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Experience
Qualifications
Key ResponsibilitiesModel Development & ProductionizationDesign, train, and validate both supervised and unsupervised models (e.g., anomaly detection, classification, forecasting).Architect and implement deep learning solutions (CNNs, Transformers) utilizing PyTorch.Develop and fine-tune Large Language Models (LLMs) and create LLM-driven applications.Implement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databases.Construct robust pipelines to deploy models at scale using Docker, Kubernetes, and CI/CD.Data Engineering & MLOpsIngest, clean, and transform large datasets leveraging 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.Adopt LLMOps practices for automated testing, evaluation, and monitoring of LLMs.Software Development Best PracticesWrite production-grade Python code adhering to SOLID principles, conduct unit tests and code reviews.Participate in Agile (Scrum) ceremonies; track work in JIRA.Document architecture and processes to maintain clarity and transparency.
About the job
Join Azumo, a forward-thinking company, as we seek a passionate Data Scientist / Machine Learning Engineer to enhance our data and analytics framework. This is a FULLY REMOTE position, with a preference for candidates based in Latin America. Proficiency in English at a B2/C1 level is required.
In this role, you will collaborate with a vibrant team of skilled data scientists specializing in big data analytics and applied AI. If you are eager to design and implement cutting-edge machine learning and deep learning models, especially in the Generative AI domain, this position is tailored for you. We are looking for a professional adept in Python for production-level initiatives, with a strong background in machine learning and deep learning techniques including CNNs and Transformers, and practical experience with PyTorch.
As a versatile Machine Learning Engineer / Data Scientist, you will not only conceptualize and prototype innovative ML/DL models but also deploy them end-to-end, seamlessly integrating your solutions into our data architectures and services. You will collaborate closely with data engineers, software developers, and product owners to ensure the development of high-quality, scalable, and maintainable systems.
About Azumo
Azumo is a pioneering organization dedicated to leveraging advanced data analytics and AI technologies. Our team is composed of innovative professionals passionate about utilizing big data to create impactful solutions.
