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Senior Associate – Agentic AI and Machine Learning Developer
PwCAI and Machine Learning Developer focusing on transforming data into insights for PwC clients. Collaborating with teams and mentoring juniors while implementing advanced data solutions.
Posted 7/29/2026full-timeNew York City • Florida, New Jersey, New York, Pennsylvania, Texas • 🇺🇸 United StatesSenior💰 $77,000 - $202,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in designing and implementing AI and machine learning solutions, with expertise in Python and Java for data analysis and modeling. Skilled in developing data pipelines, integrating data sources, and applying machine learning libraries like TensorFlow and Scikit-Learn for optimized performance.
Highest-signal resume keywords
AI ImplementationMachine Learning LibrariesData Pipeline DevelopmentNatural Language ProcessingData Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaMachine LearningData AnalysisData EngineeringTensorFlowScikit-LearnNatural Language ProcessingData Pipeline DevelopmentAdvanced Algorithms
Soft Skills
CollaborationMentoringCommunication
Tools & Technologies
AWSGoogle CloudMicrosoft AzureDatabricksSnowflake
Certifications & Qualifications
Data Engineering CertificationsMachine Learning CertificationsCloud Platform Certifications
Industry Keywords
AnalyticsData ScienceArtificial IntelligenceRoboticsComputer ScienceInformation SystemsEngineering
Tech Stack
Tools & technologiesAWSAzureCloudJavaPythonScikit-LearnTensorflow
About the role
Key responsibilities & impact- Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
- Developing scalable software and platform systems using advanced algorithms and data engineering techniques
- Collaborating with clients to understand their needs and deliver tailored data solutions
- Utilizing programming languages such as Python and Java to build and deploy AI models
- Integrating data from various sources to enhance data quality and infrastructure
- Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance
- Conducting complex data analysis to support informed decision-making and business growth
- Building and maintaining data pipelines to streamline data processing and analysis
- Leveraging natural language processing tools to develop innovative text analytics solutions
- Mentoring junior team members and guiding them in technical and professional development
Requirements
What you’ll need- At least a Bachelor's degree
- At least 2 years of experience
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python and Java for complex data analysis and modeling
- Excelling in data integration and data pipeline development
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects
Benefits
Comp & perks- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
- Annual discretionary bonus