About this role
Roles & responsibilities
Here are some of the key responsibilities of AI Software Engineer:
1. Model Development Support: You will support the design, development, and implementation of generative AI models and systems. This involves understanding the problem domain, assisting in selecting appropriate models, helping in training them on large datasets, and fine-tuning hyperparameters under supervision.
2. Algorithm Support: You will assist in optimizing generative AI algorithms to improve their efficiency, scalability, and computational performance. This may involve learning about parallelization, distributed computing, and hardware acceleration techniques.
3. Data Preprocessing and Feature Engineering: You will assist in working with large datasets, preprocess them, and perform feature engineering to extract relevant information for generative AI models. This includes learning about data cleaning, normalization, dimensionality reduction, and feature selection.
4. Model Evaluation and Validation: You will assist in evaluating the performance of generative AI models using appropriate metrics and validation techniques. This involves conducting experiments, analyzing results, and iteratively refining models under the guidance of senior team members.
5. Collaboration and Teamwork: You will collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather feedback, and integrate generative AI models into larger systems or applications.
6. Learning and Development: As an associate, you will focus on learning and developing your skills in generative AI. This includes receiving mentoring, having your work reviewed, and gaining hands-on experience.
7. Documentation and Reporting: You will assist in documenting work, including model architectures, methodologies, and experimental results. You may also be responsible for preparing reports under supervision.
Mandatory technical & functional skills
Strong Expertise in Angular(17 or latest), Typescript, ES6, HTML, CSS, SCSS and UI frameworks like Angular Material or PrimeNg
Preferred technical & functional skills
Key behavioral attributes/requirements
Understand business objectives and functions to support data needs
Other facts
About KPMG Global Services
KPMG entities in India are established under the laws of India and are owned and managed (as the case may be) by established Indian professionals. Established in September 1993, the KPMG entities have rapidly built a significant competitive presence in the country. Today we operate from offices across 14 cities including in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities have a domestic client base of over 2700 companies. Our global approach to service delivery helps provide value-added services to clients.
Our differentiation is derived from a rapid performance-based, industry-tailored and technology-enabled business advisory services delivered by some of the leading talented professionals in the country. KPMG professionals are grouped by industry focus and our clients are able to deal with industry professionals who speak their language. Our internal information technology and knowledge management systems enable the delivery of informed and timely business advice to clients.
What you'll do
- The role involves supporting the design, development, and implementation of generative AI models and systems, as well as optimizing algorithms for efficiency and performance. Collaboration with cross-functional teams and continuous learning are also key aspects of the position.
Ready to join KPMG Global Services?
Take the next step in your career journey