Senior Associate GenAI S/W Engineer
Job Summary
Job Description
- Proficiency in React.js, .NET, and Python
- Strong knowledge of Azure Cloud Services
- Experience with Python Data Analytics libraries
- Experience with Python Generative AI Frameworks
- Experience with Power Platform tools
- Knowledge of Power BI for data visualization
15 skills required
Job Details
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
*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: A career within PWC
Responsibilities:
Job Overview
We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern front-end and back-end technologies, cloud-based solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in full-stack development, cloud platforms (preferably Azure), and hands-on experience in Gen AI, AI and machine learning technologies.
Key Responsibilities
Develop and maintain web applications using Angular/React.js, .NET, and Python.
Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications.
Implement security best practices for data in transit and rest. Authentication best practices – SSO, OAuth 2.0 and Auth0.
Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikit-learn and Langchain, Llamaindex, Azure OpenAI SDK
Leverage Agentic frameworks like Crew AI, Autogen etc.
Well versed with RAG and Agentic Architecture.
Strong in Design patterns – Architectural, Data, Object oriented
Leverage azure serverless components to build highly scalable and efficient solutions.
Create, integrate, and manage workflows using Power Platform, including Power Automate, Power Pages, and SharePoint.
Apply expertise in machine learning, deep learning, and Generative AI to solve complex problems.
Primary Skills
Proficiency in React.js, .NET, and Python.
Strong knowledge of Azure Cloud Services, including serverless architectures and data security.
Experience with Python Data Analytics libraries:
pandas
NumPy
scikit-learn
Matplotlib
Seaborn
Experience with Python Generative AI Frameworks:
Langchain
LlamaIndex
Crew AI
AutoGen
Familiarity with REST API design, Swagger documentation, and authentication best practices.
Secondary Skills
Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration.
Knowledge of Power BI for data visualization (preferred).
Preferred Knowledge Areas – Nice to have
In-depth understanding of Machine Learning, deep learning, supervised, un-supervised algorithms.
Mandatory skill sets:
AI, ML
Preferred skill sets:
AI, ML
Years of experience required:
3-7 years
Education qualification:
BE/BTECH, ME/MTECH, MBA, MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration, Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Game AIOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 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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About The Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.
Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
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