IN-Senior Associate_GEN AI _Data & Analytics… at PwC · Kolkata…

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