2 months ago
Washington, DC, USA +5 moreMid Level
Base Salary
$77k - $202k/yr
Responsibilities
- Design and implement AI systems that transform raw data into actionable insights.
- Develop scalable machine learning models using Python and TensorFlow.
- Integrate data from multiple sources to improve data quality and infrastructure.
- Conduct complex data analysis and build and deploy AI and machine learning solutions at scale.
- Collaborate with clients to understand their needs and deliver tailored AI solutions.
- Use C++ and Java for software development.
- Apply natural language processing for text analytics and sentiment analysis.
- Manage data pipelines and verify data integrity within analytics frameworks.
- Mentor junior team members in AI and data engineering tasks.
Requirements
- Bachelor’s degree required.
- At least 3 years of experience required.
- Preferred fields of study include analytics/data science, artificial intelligence/robotics, computer science/information systems, or engineering.
- Preferred certifications include data engineering, machine learning, and cloud platform credentials such as AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake.
- Proficiency in AI implementation and machine learning libraries is preferred.
- Experience with Python and C++ for complex data analysis and modeling is preferred.
- Experience developing and managing data pipelines and infrastructure is preferred.
- Experience applying natural language processing for text analytics is preferred.
- Experience with TensorFlow and Scikit-Learn for deep learning projects is preferred.
Benefits
- Medical, dental, and vision benefits.
- 401(k) benefits.
- Holiday pay, vacation, and personal and family sick leave.
- Annual discretionary bonus eligibility.
- Up to 20% travel required.
Categories
Data EngineeringML Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.