KPMG entities in India are professional services firm(s). Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition.
Requirements
- Designing, developing, and deploying AI-driven solutions using Python.
- Developing and deploying Generative AI models for tasks such as text generation, image synthesis, or data augmentation.
- Designing workflows to fine-tune Large Language Models (LLMs) like GPT or BERT for specific use cases.
- Experience with Natural Language Processing (NLP) techniques and libraries such as spaCy, NLTK, or Hugging Face Transformers.
- Proficiency in computer vision techniques and libraries such as OpenCV, TensorFlow, or PyTorch.
- Implementing and optimizing AI algorithms for performance and scalability.
- Knowledge of reinforcement learning and its applications.
- Developing custom API endpoints for model deployment and real-time data processing.
- Ensuring API security and scalability for handling large volumes of requests efficiently.
- Integrating third-party APIs to enhance AI functionality (e.g., speech-to-text, language translation, or image recognition).
- Utilizing deep learning frameworks such as PyTorch or TensorFlow for building neural networks.
- Strong understanding of AI/ML concepts, including frameworks like scikit-learn and TensorFlow.
- Experience with AI model deployment and serving using tools like Docker, Kubernetes, or cloud services (AWS, Azure, GCP).
- Collaborating with data scientists and analysts to integrate machine learning models into production.
- Hands-on experience with Python, knowledge of Data Analytics to proficiently write and optimize scripts.
- Writing complex SQL queries to extract, transform, and analyze data from relational/non-relational databases.
- Proficiency in version control tools such as Git.
- Knowledge of data visualization tools like Power BI for creating dashboards and reports (good to have).
- Exposure to ServiceNow for IT service management and automation (good to have).
- Familiarity with Microsoft Azure cloud services for AI and data processing (good to have).
- Good communication and presentation skills.