Job description

The Opportunity As an AI Engineer - Senior Associate - Commercial Technology & Innovation, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Advisory practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, asking questions and using these moments as opportunities to grow. In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. This is an opportunity to be part of a dynamic team that is at the forefront of innovation, driving business growth through cutting-edge technology solutions. Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data from various sources to enhance data quality and infrastructure - Conducting complex data analysis to support informed decision-making - Building and deploying AI and machine learning solutions at scale - Collaborating with clients to understand their needs and deliver tailored AI solutions - Utilizing programming languages such as C++ and Java for software development - Applying natural language processing techniques for text analytics and sentiment analysis - Managing data pipelines and confirming data integrity within analytics frameworks - Mentoring junior team members and guiding them in AI and data engineering tasks What You Must Have - At least a Bachelor's degree - At least 3 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 proficiency in AI implementation and machine learning libraries - Utilizing Python and C++ for complex data analysis and modeling - Excelling in developing and managing data pipelines and infrastructure - Applying natural language processing techniques for text analytics - Leveraging TensorFlow and Scikit-Learn for deep learning projects The salary range for this position is: $77,000 - $202,000. 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

Designing and implementing AI systems to transform raw data into actionable insights
Developing scalable machine learning models using Python and TensorFlow
Integrating data from various sources to enhance data quality and infrastructure
Conducting complex data analysis to support informed decision-making
Building and deploying AI and machine learning solutions at scale
Collaborating with clients to understand their needs and deliver tailored AI solutions
Utilizing programming languages such as C++ and Java for software development
Applying natural language processing techniques for text analytics and sentiment analysis
Managing data pipelines and confirming data integrity within analytics frameworks
Mentoring junior team members and guiding them in AI and data engineering tasks
What You Must Have
At least a Bachelor's degree
At least 3 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 proficiency in AI implementation and machine learning libraries
Utilizing Python and C++ for complex data analysis and modeling
Excelling in developing and managing data pipelines and infrastructure
Applying natural language processing techniques for text analytics
Leveraging TensorFlow and Scikit-Learn for deep learning projects

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

aimachine learningpythonjavaawsazure

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k