Overview
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.
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Education Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or Data Science
Eligible Batch Years
KPMG
KPMG is one of the world's leading professional services firms, forming part of the 'Big Four' alongside Deloitte, EY, and PwC. Founded in 1987 through the merger of Klynveld Main Goerdeler (KMG) and Peat Marwick International, KPMG operates as a global network of independent member firms providing audit, tax, and advisory services. With a presence in over 145 countries and territories, KPMG employs more than 270,000 professionals, serving clients ranging from multinational corporations and governments to small and medium-sized enterprises.
The firm's mission is to inspire confidence and empower change by delivering high-quality professional services that help organizations navigate complex business challenges. KPMG is recognized for its commitment to integrity, innovation, and sustainability, with initiatives focused on digital transformation, ESG (environmental, social, and governance) advisory, and diversity and inclusion. In recent years, KPMG has invested heavily in technology-driven solutions, including advanced analytics and AI-powered tools, to enhance client outcomes and maintain its competitive edge in the global market.
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