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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates proficiency in machine learning fundamentals, including model training, testing, evaluation, and optimization, with exposure to relevant frameworks and tools. Capable of collaborating effectively within diverse teams while maintaining strong communication and organizational skills.
Highest-signal resume keywords
Machine Learning FundamentalsPython ProgrammingML Frameworks (PyTorch, TensorFlow, Scikit-learn)Data Analysis and PreparationGenerative AI Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningModel TrainingModel OptimizationData PreparationData AnalysisPythonSQLGenerative AIDeep LearningAI/ML Model Deployment
Soft Skills
Strong Communication SkillsDetail-OrientedHighly MotivatedOrganizedQuick Learner
Tools & Technologies
Microsoft AzureAzure Machine LearningPyTorchTensorFlowScikit-learn
Industry Keywords
Data ScienceAIMachine LearningGenerative AIComputational Mathematics
Tech Stack
Tools & technologiesAzureCloudPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Design, build, and deploy machine learning models, including generative AI models, to address complex business problems
- Clean, prepare, and analyze data for machine learning projects
- Tune and optimize models for accuracy, efficiency, and scalability in production environments
- Collaborate with AI/ML and engineering teams to support model integration, deployment, and monitoring
- Explore emerging machine learning, deep learning, and Generative AI technologies
- Participate in code reviews, technical discussions, and collaborative problem-solving
- Document findings, share learnings, and present project outcomes and recommendations
- Participate in Embark workshops and events covering professional development, community service, networking, and connected culture
Requirements
What you’ll need- High school diploma or equivalent
- Seeking to obtain a degree in Information Computer/Data Science, Machine Learning, Applied/Computational Mathematics, or a similar discipline
- GPA of 3.0 or above
- Ability to work as part of a diverse team and independently
- Highly motivated, organized, reliable, and detail-oriented
- Strong written and verbal communication skills
- Quick learner and willingness to work with new computer-based programs and databases
- Ability to contribute effectively in a fast-paced corporate environment
- No previous work experience necessary
- Understanding of machine learning fundamentals, including model training, testing, evaluation, and optimization
- Exposure to ML frameworks or libraries such as PyTorch, TensorFlow, scikit-learn, or similar tools
- Familiarity with Python and machine learning fundamentals
- Familiarity with SQL, data analysis, and data preparation
- Exposure to Microsoft Azure, Azure Machine Learning, or other cloud-based AI/ML technologies
- Interest in Generative AI, LLMs, embeddings, vector search, and AI agents
- Coursework or project experience involving AI, machine learning, data science, or Generative AI is a plus
Benefits
Comp & perks- Paid PTO during H&R Block’s annual Reboot Week (June 28 – July 2)
- Housing stipend provided for students whose permanent address is more than 50 miles from the KC metro
- Onsite Starbucks
- Company dining hall
- Free fitness center
- Free parking
- Professional development workshops and events
- Community service opportunities through Make Every Block Better
- Networking with executives, directors, vice presidents, and mentors
- Connected Culture events and activities
