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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, while effectively collaborating with diverse teams. Capable of utilizing Python and machine learning frameworks to design and deploy models in a fast-paced corporate environment.
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 AnalysisData PreparationModel EvaluationGenerative AIDeep LearningSQLCloud-Based AI/ML Technologies
Soft Skills
Strong Communication SkillsHighly MotivatedOrganizedReliableDetail-Oriented
Tools & Technologies
PythonPyTorchTensorFlowScikit-learnMicrosoft AzureAzure Machine Learning
Industry Keywords
Machine Learning ModelsGenerative AIAI AgentsLLMsVector Search
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 workshops and events covering professional development, community service, networking, and connected culture
- Complete the 11-week internship from May 17, 2027 through July 30, 2027 under the guidance of a leader
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
- Strong written and verbal communication skills
- Highly motivated, organized, reliable, and detail-oriented
- Quick learner and willingness to work with new computer-based programs and databases
- Ability to be effective and contribute in a fast-paced corporate environment
- Understanding of machine learning fundamentals, including model training, testing, evaluation, and optimization
- Familiarity with Python and machine learning fundamentals
- Exposure to ML frameworks or libraries such as PyTorch, TensorFlow, scikit-learn, or similar tools
- 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
- No previous work experience necessary
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
- Workshops and events for professional development, giveback, networking, and connected culture
- Mentor access and networking with executives, directors, and vice presidents
- Paid internship
