Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
OperationsManagement Level
AssociateJob Description & Summary
At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description & Summary: We are seeking a highly skilled AI Specialist with 7–10 years of experience to design, develop, and deploy advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong expertise in building scalable AI models, working with large datasets, and translating business problems into data-driven solutions. This role involves close collaboration with cross-functional teams to drive innovation and implement AI strategies that deliver measurable impact.
Responsibilities:
Design, develop, and optimize machine learning and deep learning models for real-world applications
Lead end-to-end AI solution development, from data preprocessing to model deployment and monitoring
Collaborate with data engineers, product teams, and stakeholders to define AI-driven solutions
Evaluate and implement state-of-the-art algorithms in areas such as NLP, computer vision, and predictive analytics
Build scalable data pipelines and ensure model performance, reliability, and efficiency
Conduct model validation, testing, and performance tuning
Mentor junior team members and provide technical leadership
Stay updated with the latest advancements in AI and recommend adoption where relevant
Ensure ethical AI practices, data privacy, and compliance standards are followed
Mandatory skill sets:
Strong proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Deep understanding of machine learning, deep learning, and statistical modeling techniques
Hands-on experience with NLP, computer vision, or recommendation systems
Experience with cloud platforms (AWS, Azure, or GCP) and AI services
Expertise in data structures, algorithms, and software engineering best practices
Experience in deploying models using APIs, microservices, or MLOps frameworks
Strong knowledge of SQL and working with large-scale datasets
Version control systems (Git) and CI/CD pipelines
Excellent problem-solving and analytical skills
Preferred skill sets:
Experience with generative AI, large language models (LLMs), and transformer architectures
Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.)
Knowledge of big data technologies (Spark, Hadoop)
Experience in real-time AI applications and edge AI
Exposure to domain-specific applications (finance, healthcare, retail, etc.)
Understanding of responsible AI, explainability, and bias mitigation
Experience leading AI projects or teams
Strong communication and stakeholder management skills
Years of experience required:
3yrs-5yrs
Education qualification:
BE/ B.Tech/ M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Machine Learning (ML)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Documentation Development, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Optimism, Performance Assessment, Performance Management Software, Problem Solving, Product Management, Product Operations, Project Delivery {+ 11 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
July 16, 2026Based on 578 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $205K/year, with most offers between $167K and $242K (10th–90th percentile: $131K–$275K).
See the full AI Engineering salary breakdown →