INSenior Associate GEN AID&AAdvisoryPune

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

*Why PWC

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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary: A career within.

Responsibilities:

Strong understanding of Generative AI concepts including Large Language Models (LLMs) prompt engineering fine-tuning and model evaluation. Proficiency in Python/PySpark for AI development data preprocessing and scripting. Hands-on experience in designing and implementing GenAI applications such as chatbots document summarization tools code assistants or knowledge search solutions. Deep understanding of embedding generation vector databases (e.g. Amazon OpenSearch Pinecone FAISS) and retrieval-augmented generation (RAG) pipelines. Proficiency in Python and frameworks such as LangChain Transformers and PyTorch/TensorFlow. Experience with LLM APIs (e.g. OpenAI Anthropic Claude Llama etc.) and vector databases (e.g. OpenSearch Pinecone FAISS). Ability to design and deploy scalable AI pipelines leveraging cloud platforms preferably AWS but Azure experience is also acceptable. Understanding of data security access control and cost optimization in a cloud environment. Strong knowledge of API development microservices and integration of GenAI systems into enterprise applications. Strong understanding and hands-on experience with AWS AI and ML services including Bedrock SageMaker Lambda Step Functions API Gateway and CloudWatch.

Familiarity with cloud-native AI services such as AWS Bedrock SageMaker or Azure OpenAI.

Mandatory skill sets:

GEN AI Python/Pyspark

Preferred skill sets:

Proficiency in developing and integrating RESTful APIs Understanding of version control systems such as Git. Experience in MLOps/DevOps practices for model deployment and monitoring. Exposure to containerization (Docker Kubernetes) for AI workloads. Knowledge of AI governance ethical AI and responsible AI frameworks. Strong analytical and problem-solving abilities with a focus on performance optimization. Experience working in Agile delivery environments and collaborating with cross-functional teams. Experience integrating GenAI systems with business intelligence or automation solutions (e.g. chatbots document summarization code generation). Proven experience in designing and implementing Extract Transform Load (ETL) processes Knowledge of data governance ethical AI principles and responsible AI practices. Knowledge in AWS or Azure Data Engineering services

Years of experience required:

4 7 yrs

Education qualification: MBA/MCA/Btech

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

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date