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IN_Senior Associate_AI_Application Technology-MS Engg_Advisory_Kolkata presso PwC

PwC · Kolkata, India · Onsite

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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 data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.

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.

Responsibilities

• Design, develop, and deploy AI/ML models in Vertex AI • Implement and optimize AI solutions using frameworks like Lang-Chain, Semantic Kernel, and PyTorch • Develop and maintain applications using Java sprintboot framework/.NET core framework, integrating with Microsoft Teams and Graph API *Perform prompt engineering, tuning, and optimization of Large Language Models • Handle data preprocessing and feature engineering for both structured and unstructured data • Implement CI/CD pipelines using Azure DevOps/Jenkins/Gitlab • Manage data storage solutions using Azure Blob Storage • Collaborate with team members to ensure best practices in AI/ML development Document AI models, code, and processes clearly

Skill sets • Strong proficiency in Python, TypeScript, and/or C# • Experience with AI frameworks including Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn • Expertise in Vertex AI, Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services Strong knowledge of NLP, LLMs, Vectorization, and Prompt Engineering • Experience with Azure Text Analytics • Proficiency in data engineering using Azure Data Factory and Azure SQL Database Experience with Azure DevOps and version control • Understanding of cloud-based AI/ML deployment • Experience with Google cloud • Knowledge of data preprocessing and feature engineering techniques

Certifications/Credentials • AI-900: Azure AI Fundamentals (Must Have)

Mandatory Skill Sets:

Python, TypeScript, and/or C#,Vertex AI,Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn

Preferred Skill Sets:Python, TypeScript, and/or C#,Vertex AI,Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn

Years of experience required:

3 to 6

Education Qualification-

BTech/BE/MTech from reputed institution/university as per the hiring norms

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

Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture, Data-Driven Insights, Data Ingestion {+ 34 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

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