About the Role

KPMG Global Services is seeking an enthusiastic AI Software Engineer (Associate 1 / Analyst) to join our dynamic AI Hub team. This entry-level position offers the opportunity to work on cutting-edge generative AI technologies while receiving mentorship from industry experts.

Key Responsibilities

• Model Development Support: Assist in designing, developing, and implementing generative AI models, including model selection, training, and fine-tuning.
• Algorithm Optimization: Support the enhancement of AI algorithms for efficiency, scalability, and performance using modern computing techniques.
• Data Preparation: Work with large datasets to clean, normalize, and perform feature engineering for AI model training.
• Model Evaluation: Help evaluate AI models using appropriate metrics, conduct experiments, and refine models based on results.
• Collaboration: Partner with cross-functional teams to integrate AI solutions into enterprise applications.
• Learning & Development: Engage in continuous learning, receive mentoring, and build expertise in generative AI technologies.
• Documentation: Prepare and maintain documentation of model architectures, methodologies, and experimental findings.

Mandatory Technical Skills

• Proficiency in Python programming
• Understanding of ML models such as Decision Trees, Random Forest, XGBoost, and Deep Learning architectures (LSTM, RNN, CNN)
• Experience with NLP algorithms
• Hands-on experience with TensorFlow or PyTorch
• Exposure to Large Language Models (OpenAI, HuggingFace)
• Basic knowledge of GenAI frameworks like LangChain, LlamaIndex, LlamaParse, LlamaCloud
• Strong front-end skills in Angular (v17+), TypeScript, ES6, HTML, CSS, SCSS, and UI frameworks such as Angular Material or PrimeNG

Preferred Skills

• Relevant AI certifications in GCP, Azure, or AWS

Behavioral Attributes

• Ability to take ownership of project deliverables
• Understanding of business objectives to align data solutions

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or Data Science
• 0-1 years of professional experience

Equal Opportunity Statement

KPMG is committed to creating a diverse and inclusive workplace. We provide equal employment opportunities regardless of race, religion, gender, age, disability, or other protected characteristics.