Job Description
About KPMG in India
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Responsibilities
Key Responsibilities
AI & NLP Development
- Design and implement models for text, structured/unstructured data, and conversational AI systems.
- Work with large language models (LLMs), RAG pipelines, embeddings, and vector databases.
- Apply core NLP techniques: tokenization, entity recognition, text classification, summarization, and semantic search.
Mathematical & Algorithmic Foundations
- Apply fundamentals of linear algebra, probability, optimization, and statistics to AI model design and performance tuning.
- Develop scalable algorithms for search, retrieval, and real-time inference.
System Integration & Deployment
- Build and integrate AI microservices into enterprise-grade systems via APIs, event-driven patterns, and cloud services.
- Implement MLOps workflows including CI/CD, model monitoring, retraining pipelines, and explainability.
Cloud & Scalability
- Deploy and optimize AI workloads on Azure ML, AWS Sagemaker, or GCP Vertex AI.
- Ensure cost optimization, latency reduction, and security compliance.
Leadership & Collaboration
- Mentor AI Engineers and guide technical decision-making.
- Partner with Solution Architects and business teams to align models with client requirements.
- Champion Responsible AI principles (fairness, bias detection, compliance).
Required Skills & Qualifications
- Strong programming skills in Python (PyTorch, TensorFlow, Hugging Face, LangChain).
- Solid grasp of mathematics for AI: linear algebra, probability, optimization, statistics.
- Expertise in NLP & LLMs: embeddings, transformers, semantic search, RAG, prompt engineering.
- Experience with data engineering tools (Spark, Airflow, SQL/NoSQL DBs).
- Proficiency in vector databases (FAISS, Pinecone, Weaviate) and knowledge graphs.
- Hands-on with cloud-native AI deployments (Azure, AWS, GCP).
- Familiarity with API-driven design, microservices, and event-driven architectures.
- Exposure to DevOps/MLOps practices including containerization (Docker/Kubernetes).
Qualifications
Equal employment opportunity information
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. 
