Associate_GEN AI_D&A _Advisory_Mumbai PWC

We are seeking a dedicated Associate to join our Data & Analytics Advisory team, focusing on the development and deployment of cutting-edge Generative AI solutions. In this role, you will bridge the gap between complex data infrastructure and actionable business intelligence, working on high-impact projects that leverage LLMs to solve real-world client challenges. You will be instrumental in building scalable AI applications that drive innovation and operational efficiency across diverse industry sectors.

Key Deliverables

• Develop and deploy AI-based applications leveraging LLMs and Generative AI models such as GPT and Gemini.
• Build and maintain scalable backend systems using Python to ensure seamless integration with frontend components.
• Design, optimize, and fine-tune generative AI models to align with specific client use cases and business requirements.
• Implement RAG (Retrieval-Augmented Generation) techniques and agentic workflows to enhance model accuracy and utility.
• Collaborate with cross-functional teams, including data scientists and product managers, to deliver robust, end-to-end AI solutions.
• Deploy and manage AI applications on cloud platforms like AWS or Azure, ensuring high performance and system scalability.

Essential Requirements

• 4 – 7 years of professional experience in data, analytics, or AI engineering.
• Proficiency in Python for application development and experience with web frameworks such as Flask, FastAPI, or Django.
• Hands-on experience with Generative AI frameworks and libraries, including Hugging Face, OpenAI API, and LangChain.
• Strong knowledge of LLMs, fine-tuning techniques, and MLOps frameworks for model lifecycle management.
• Experience with frontend development using JavaScript and React.
• Familiarity with cloud platforms (AWS or Azure) for deployment and scaling.
• Bachelor's degree in Engineering or MCA; MBA is also accepted.

Preferred Qualifications

• Hands-on experience with DevOps practices, specifically using Jenkins for CI/CD pipelines.
• Knowledge of containerization technologies, including Docker and Kubernetes.
• Experience with PySpark and broader data engineering tools within the Azure or AWS ecosystems.

Education
Bachelor Of Technology (B.Tech/B.E)
Skills Required
Pyspark, FastAPI, Analytics & AI, MLops, Ai, Ai Development, AI Specialist