Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Microsoft

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in machine learning ops engineering at PwC will focus on developing and implementing operational processes and infrastructure to support machine learning models and algorithms. Your work will involve enabling the smooth deployment and maintenance of machine learning systems within an organisation.*Why PWCAt 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: A career within…

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Responsibilities:

Experience: 3-7 years in AI/ML development, with a demonstrated track record of deploying AI models in Azure App Services / Azure Kubernetes Service (AKS).

AI Frameworks/Services: Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services.

Programming: Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API.

NLP Expertise: Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics.

Data Engineering: Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database.

Cloud Technologies: Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions.

Mandatory skill sets:

AI/ML Developer

Preferred skill sets:

Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS).

Years of experience required:

3-7 Years

Education qualification:

B.Tech/B.E./MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Artificial Intelligence Markup Language

Optional Skills

Microsoft Azure

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date