Practical experience with:
Supervised and unsupervised Machine Learning
Data preprocessing and analysis
Model evaluation (metrics, validation)
Experience working on real projects
Strong knowledge in:
Python (pandas, numpy, scikit-learn)
Applied basic statistics
Version control (Git)
Nice-to-have:
Basic MLOps knowledge
Experience integrating models into APIs
This professional should already be able to:
Understand a business problem
Propose a modeling approach
Implement, test and tune models
Request help primarily for technical decisions rather than for basic execution
Preferred certifications:
Microsoft AI-900: Azure AI Fundamentals
DP-900: Azure Data Fundamentals
Introductory certifications in Machine Learning, Python or Data Science (Coursera, edX, Udemy, etc.)
Desirable:
Demonstrated experience with AI
Education: IT, Information Systems, Software Engineering, Networks, Computer Engineering, Computer Science, etc.
Language: Technical English

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Supervised Machine LearningUnsupervised Machine LearningData preprocessingData analysisModel evaluationPythonpandasnumpyscikit-learnApplied statistics

Soft Skills

Problem understandingModeling approach proposalModel implementationModel testingModel tuningTechnical decision making

Certifications

Microsoft AI-900: Azure AI FundamentalsDP-900: Azure Data FundamentalsMachine Learning certificationPython certificationData Science certification