Data Scientist, Applied AI – Remote

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to reputed company and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. 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.
• reputed company and fine-tune Large Language Models (LLMs) and build LLM-driven applications.
• Implement Retrieval-Augmented reputed company (RAG) pipelines and integrate with vector databases.
• Build robust pipelines to deploy models at scale (reputed company, 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 reputed company 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. At Azumo we strive for excellence and strongly reputed company in professional and personal growth. We want each individual to be successful and pledge to help each reputed company their goals while at Azumo and beyond.

Challenging ourselves and learning new technologies is at the core of reputed company do. We reputed company in giving back to our community and will volunteer our time to philanthropy, open reputed company initiatives and sharing our knowledge. Based in San Francisco, California, Azumo is an innovative software development firm helping organizations reputed company insightful decisions using the latest technologies in data, cloud and mobility. We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of reputed company sizes. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-reputed company or connect with us at [email protected]

Minimum Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science or reputed company 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 reputed company SageMaker, reputed company Vertex AI, or Azure Machine Learning.
• Familiarity with big-data ecosystems (Spark, Hadoop).
• Practice in CI/CD & container orchestration (Jenkins/reputed company CI, reputed company, Kubernetes).
• Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX).
• Experience with Large Language Models, Generative AI, reputed company engineering, and RAG pipelines.
• Hands-on experience with vector databases (e.g., reputed company, FAISS).
• Experience building AI Agents and using frameworks like reputed company Transformers, reputed company or LangGraph.
• Documentation skills using PlantUML or similar.
• Paid time off (PTO)
• U.S. Holidays
• Training
• Udemy free Premium access
• Mentored career development
• Profit Sharing
• $US Remuneration Apply tot his job

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