Job description

The Opportunity As an AI Engineering Lead, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Senior Manager, you will apply your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will navigate through ambiguity, demonstrating composure and applying sound judgment to drive project success. In this role at PwC, you will focus on building and deploying AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will craft and convey clear, impactful messages, validate outcomes with clients, and act on feedback to enhance solutions. Your ability to develop and sustain diverse and inclusive teams contributes to the overall success of our firm, fostering a culture of continuous improvement and innovation. Responsibilities - Leading the design and development of AI systems to transform raw data into actionable insights - Managing the deployment of scalable AI and Machine Learning solutions for client projects - Overseeing data wrangling and software implementation to enhance AI model utility and scalability - Guiding teams in applying advanced data engineering techniques to drive business growth - Utilizing programming languages such as Python and C++ to develop robust data solutions - Implementing data integration and modeling strategies to support AI initiatives - Directing complex data analysis to identify opportunities for innovation and improvement - Collaborating with stakeholders to validate outcomes and incorporate client feedback - Promoting the use of open-source software and machine learning libraries like TensorFlow and Scikit-Learn - Coaching and motivating diverse teams to solve complex problems and achieve project success What You Must Have - At least a Bachelor's degree - At least 7 years of experience What Sets You Apart - 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 advanced skills in AI implementation and machine learning libraries - Utilizing programming languages such as Python, Java, and C++ - Excelling in complex data analysis and data modeling techniques - Innovating with open-source software and rapid experimentation - Leading teams through ambiguity with sound judgment and strategic advising The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: pwc.to As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.  PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: pwc.to. Learn more about how we work: pwc.to For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Requirements

Must-haves

Leading the design and development of AI systems to transform raw data into actionable insights
Managing the deployment of scalable AI and Machine Learning solutions for client projects
Overseeing data wrangling and software implementation to enhance AI model utility and scalability
Guiding teams in applying advanced data engineering techniques to drive business growth
Utilizing programming languages such as Python and C++ to develop robust data solutions
Implementing data integration and modeling strategies to support AI initiatives
Directing complex data analysis to identify opportunities for innovation and improvement
Collaborating with stakeholders to validate outcomes and incorporate client feedback
Promoting the use of open-source software and machine learning libraries like TensorFlow and Scikit-Learn
Coaching and motivating diverse teams to solve complex problems and achieve project success
What You Must Have
At least a Bachelor's degree
At least 7 years of experience
What Sets You Apart
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 advanced skills in AI implementation and machine learning libraries
Utilizing programming languages such as Python, Java, and C++
Excelling in complex data analysis and data modeling techniques
Innovating with open-source software and rapid experimentation
Leading teams through ambiguity with sound judgment and strategic advising

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonawsazurejava

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k