Data Scientist, Applied AI
A
AzumoAI Software Development
Buenos Aires, Buenos Aires, Argentina. Brazil. Colombia. Mexico. United StatesFull-TimeSenior
Salary$US Remuneration
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- PythonAgileMachine LearningNumpyPyTorchSCRUMPandasDeep Learningscikit-learn
Requirements
- 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 including CNNs, Transformers, and LLMs.
- Hands-on experience with PyTorch or similar frameworks including training, custom modules, and optimization.
- Proven track record deploying ML solutions.
- Expertise in pandas, NumPy, and scikit-learn.
- Strong foundation in statistics and experimental design.
- Excellent written and spoken English.
- Familiarity with Agile/Scrum practices and tools like JIRA and Confluence.
- Experience with cloud platforms (AWS, GCP, Azure) and AI-specific services like SageMaker, Vertex AI, or Azure ML.
- Familiarity with big-data ecosystems (Spark, Hadoop).
- Practice in CI/CD and container orchestration (Docker, Kubernetes).
Responsibilities
- Design, train, and validate supervised and unsupervised models including anomaly detection, classification, and forecasting.
- Architect and implement deep learning solutions using 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 using Docker, Kubernetes, and CI/CD.
- Ingest, clean, and transform large datasets using pandas, NumPy, and Spark.
- Automate training and serving workflows with orchestration tools like Airflow.
- Monitor model performance in production and iterate on drift detection and retraining strategies.
- Implement LLMOps practices for automated testing, evaluation, and monitoring.
- Write production-grade Python code following SOLID principles and perform unit tests.
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