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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI systems, developing scalable machine learning models, and applying complex data analysis techniques. Proficient in Python, TensorFlow, and natural language processing, with a strong focus on data quality and infrastructure management.
Highest-signal resume keywords
Python ProgrammingTensorFlow DevelopmentMachine Learning Model DevelopmentNatural Language ProcessingData Engineering Certifications
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design and implement AI systems that transform raw data into actionable insights
- Develop scalable machine learning models using Python and TensorFlow
- Integrate data from various sources to create unified views for analysis
- Build and maintain data pipelines supporting AI model deployment
- Apply complex data analysis techniques to identify patterns and trends
- Collaborate with team members to enhance AI solutions and drive business growth
- Use natural language processing tools such as NLTK for text analytics and sentiment analysis
- Implement neural networks and deep learning methods for advanced AI applications
- Manage data quality and infrastructure supporting reliable AI operations
- Continuously learn and adapt to new AI engineering technologies and methodologies
- Engage with stakeholders and contribute to Internal Firm Services projects
Requirements
What you’ll need- At least a Bachelor's degree, or three years of specialized training and/or progressively responsible work experience in Engineering with AI and Machine Learning for each missing year of college in addition to the minimum experience required
- At least 1 year of experience
- Degree field in Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, or Information Technology
- Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Experience building and orchestrating AI agent workflows using frameworks such as LangGraph
- Experience applying generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning
- Experience developing automated evaluation frameworks, including LLM-as-judge pipelines, regression testing, and adversarial benchmarking
- Experience optimizing open-weight language models, including LLaMA, Mistral, and Gemma, using quantization, inference acceleration, and model-routing techniques
- Experience designing agent harnesses and implementing context engineering, memory management, retry logic, and structured output validation
- Proficiency in Python and TensorFlow
- Experience with Scikit-Learn
- Experience in complex data analysis and pattern recognition
- Experience implementing AI solutions using open-source software
- Experience applying natural language processing techniques in real-world applications
- Ability to travel up to 20%
- Must not require PwC sponsorship through the H-1B lottery, subject to the stated policy
Benefits
Comp & perks- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
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 LearningData AnalysisNeural NetworksDeep LearningAI Solutions ImplementationComplex Data AnalysisPattern RecognitionGenerative AI TechniquesAutomated Evaluation FrameworksOpen-Source Software
Soft Skills
CollaborationStakeholder EngagementAdaptability
Tools & Technologies
AWSGoogle CloudMicrosoft AzureDatabricksSnowflakeNLTKScikit-LearnLangGraph
Certifications & Qualifications
Data Engineering CertificationsMachine Learning CertificationsCloud Platform Certifications
Industry Keywords
AI SystemsData PipelinesAI Model DeploymentText AnalyticsSentiment Analysis