Manager - AI/ML

Role overview

Manager - AI/ML at KPMG

Design, build, and fine-tune machine learning, deep learning, and Generative AI models for real-world use cases.

Responsibilities

• Develop Agentic AI systems using frameworks such as ADK, LangGraph, or equivalent for orchestration and reasoning.
• Build solutions leveraging LLMs, RAG pipelines, embeddings, and vector databases.
• Design and implement AI systems for text, structured/unstructured data, and conversational use cases.
• Apply core NLP techniques including classification, summarization, entity recognition, and semantic search.
• Develop scalable algorithms for search, retrieval, and real-time inference.
• Build and integrate AI microservices into enterprise systems using APIs, event-driven architectures, and cloud services.
• Deploy and operate AI workloads using Docker, Kubernetes, and managed cloud AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
• Optimize solutions for performance, cost, latency, and security.
• Collect, preprocess, and manage large datasets for fine-tuning and inference.
• Continuously monitor and optimize models and prompts for accuracy, scalability, and efficiency.
• Partner with Solution Architects and business teams to translate requirements into production-ready AI solutions.
• Champion Responsible AI practices, including fairness, bias mitigation, and compliance.
• 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.

Required skills

• 3–9 years of experience in AI/ML development and deployment.
• Hands-on experience with LLMs and Generative AI applications.
• Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch).
• Strong understanding of Generative AI concepts (transformers, embeddings, fine-tuning).
• Experience with Agentic AI frameworks (ADK, LangGraph, AutoGen).
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.
• Knowledge of prompt engineering, vector databases (Pinecone, Weaviate), and retrieval-augmented generation (RAG).
• Hands-on with cloud-native AI deployments (Azure, AWS, GCP).
• Familiarity with API-driven design, microservices, and event-driven architectures Bachelor’s/Master’s in Computer Science, AI, Data Science, or related field.

Employment details

• Location: Bangalore [Karnataka] [India]

About the employer

• 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.
• AI Engineer Role Summary An AI Engineer designs, develops, and deploys AI models and solutions, including Generative AI applications, to solve real-world business problems.
• This role involves hands-on coding, model training, and integration into production systems.
• Attached the Job description for your reference -