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Machine Learning Intern
Instituto de Pesquisas Eldorado. Support the collection, processing, cleaning, and preparation of data for analyses and Machine Learning models.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates foundational capabilities in data collection, processing, and analysis, with a focus on Machine Learning and AI projects. Proficient in Python programming and familiar with data manipulation tools such as Pandas and NumPy.
Highest-signal resume keywords
Python ProgrammingData Analysis Using PandasMachine Learning LibrariesSQL and DatabasesCloud Environments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data StructuresAlgorithmsStatisticsProbabilityMachine LearningData CleaningData PreparationExploratory Data AnalysisCode Version ControlData Pipelines
Soft Skills
CollaborationCommunicationProblem-SolvingAdaptabilityCuriosity
Tools & Technologies
PandasNumPyScikit-learnTensorFlowPyTorchGitAWSAzureGCP
Industry Keywords
Machine LearningArtificial IntelligenceGenerative AILLMsData Science
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Support the collection, processing, cleaning, and preparation of data for analyses and Machine Learning models.
- Assist with the development, training, validation, and monitoring of predictive models.
- Participate in building data pipelines and processing workflows for AI projects.
- Conduct exploratory data analysis to identify patterns, trends, and opportunities for improvement.
- Collaborate on documenting experiments, results, and processes related to projects.
- Support the implementation and testing of models in development and production environments.
- Work closely with Software Engineering, Data, and AI teams to develop business solutions.
- Monitor research, studies, and experiments involving Machine Learning, Generative AI, and LLMs.
- Participate in Agile ceremonies and the team’s technical meetings.
Requirements
What you’ll need- Currently pursuing a degree in Computer Science, Engineering, Statistics, Mathematics, Data Science, or a related field.
- Basic knowledge of Python programming.
- Basic knowledge of data structures and algorithms.
- Familiarity with data analysis and manipulation using Pandas and NumPy.
- Basic understanding of statistics and probability.
- Interest in Machine Learning, Artificial Intelligence, and data analysis.
- Basic knowledge of code version control using Git.
- Preferred: basic knowledge of Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Preferred: academic or personal experience with data science or AI projects.
- Preferred: familiarity with SQL and databases.
- Preferred: basic knowledge of Cloud environments (AWS, Azure, or GCP).
- Preferred: interest in Generative AI, LLMs, and intelligent agent development.
- Preferred: participation in research projects, competitions, or academic initiatives related to the field.
Benefits
Comp & perks- Competitive compensation
- Attractive benefits package
- Professional development opportunities
- Collaborative, learning-oriented environment
- Diverse workplace and equal opportunities