Senior - BE Process

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.

Key Responsibilities

• Assist in designing and fine-tuning large language models (LLMs) to improve their performance.
• Implement and optimize deep learning techniques for NLP tasks such as text generation, sentiment analysis, and conversational AI.
• Conduct experiments with pre-trained models to enhance efficiency and accuracy.
• Collaborate with data scientists and engineers to integrate AI models into applications.
• Stay up-to-date with advancements in AI research and contribute innovative ideas.
• Write clean, efficient, and well-documented code for AI solutions.
  

Preferred Skills

• Exposure to transformer-based architectures such as GPT, BERT, and LLaMA.
• Knowledge of prompt engineering and AI-driven applications.
• Hands-on experience with AI ethics and bias mitigation strategies.
  

Equal employment opportunity informationKPMG 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.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Strong understanding of machine learning concepts, deep learning, and NLP.
• Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Proficiency in Python and experience with data preprocessing techniques.
• Basic knowledge of cloud computing (AWS, Azure, GCP) and model deployment.
• Ability to work collaboratively and adapt to new challenges in AI development.