KPMG is currently seeking a Assistant Manager, Python developers with GenAI solution development

Responsibilities:

• Implement, and optimize AI/ML models and algorithms with a focus on Agentic AI and Retrieval-Augmented Generation (RAG).

• Implement scalable machine learning models and algorithms to solve complex challenges.

• Research and integrate the latest AI tools and frameworks into existing systems.

• Stay up-to-date with advancements in AI/ML research and apply them to practical problems.

• Experiment with and implement Generative AI technologies across multiple domains.

• Leverage cloud platforms like Google Cloud, AWS, and Azure for scalable AI/ML deployments.

• Utilize open-source large language models (LLMs) such as LLama3 in AI application development.

Key Skills:

• Strong understanding of Agentic AI concepts and applications.

• Hands-on experience with Retrieval-Augmented Generation (RAG) models.

• Expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).

• Experience with Large language models (e.g., GPT-4, LLama, Azure OpenAI) and integrating them into production systems.

• Proficiency in programming languages such as Python, and familiarity with libraries like Hugging Face Transformers, langchain and llama index.

• Experience in building and deploying AI/ML solutions using cloud platforms (Azure).

• Knowledge of data retrieval, natural language processing (NLP), and reinforcement learning techniques.

• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

• Experience with model optimization, fine-tuning, and inference strategies to improve system performance.

Preferred Skills:

• Experience with advanced NLP tasks like text generation, summarization, and question answering, familiarity with reinforcement learning algorithms and their application in intelligent agent design.

• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

• Background in computer vision and image generation techniques..

KPMG is currently seeking a Assistant Manager, Python developers with GenAI solution development

Responsibilities:

• Implement, and optimize AI/ML models and algorithms with a focus on Agentic AI and Retrieval-Augmented Generation (RAG).

• Implement scalable machine learning models and algorithms to solve complex challenges.

• Research and integrate the latest AI tools and frameworks into existing systems.

• Stay up-to-date with advancements in AI/ML research and apply them to practical problems.

• Experiment with and implement Generative AI technologies across multiple domains.

• Leverage cloud platforms like Google Cloud, AWS, and Azure for scalable AI/ML deployments.

• Utilize open-source large language models (LLMs) such as LLama3 in AI application development.

Key Skills:

• Strong understanding of Agentic AI concepts and applications.

• Hands-on experience with Retrieval-Augmented Generation (RAG) models.

• Expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).

• Experience with Large language models (e.g., GPT-4, LLama, Azure OpenAI) and integrating them into production systems.

• Proficiency in programming languages such as Python, and familiarity with libraries like Hugging Face Transformers, langchain and llama index.

• Experience in building and deploying AI/ML solutions using cloud platforms (Azure).

• Knowledge of data retrieval, natural language processing (NLP), and reinforcement learning techniques.

• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

• Experience with model optimization, fine-tuning, and inference strategies to improve system performance.

Preferred Skills:

• Experience with advanced NLP tasks like text generation, summarization, and question answering, familiarity with reinforcement learning algorithms and their application in intelligent agent design.

• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

• Background in computer vision and image generation techniques..

KPMG is currently seeking a Assistant Manager, Python developers with GenAI solution development

Responsibilities:

• Implement, and optimize AI/ML models and algorithms with a focus on Agentic AI and Retrieval-Augmented Generation (RAG).

• Implement scalable machine learning models and algorithms to solve complex challenges.

• Research and integrate the latest AI tools and frameworks into existing systems.

• Stay up-to-date with advancements in AI/ML research and apply them to practical problems.

• Experiment with and implement Generative AI technologies across multiple domains.

• Leverage cloud platforms like Google Cloud, AWS, and Azure for scalable AI/ML deployments.

• Utilize open-source large language models (LLMs) such as LLama3 in AI application development.

Key Skills:

• Strong understanding of Agentic AI concepts and applications.

• Hands-on experience with Retrieval-Augmented Generation (RAG) models.

• Expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).

• Experience with Large language models (e.g., GPT-4, LLama, Azure OpenAI) and integrating them into production systems.

• Proficiency in programming languages such as Python, and familiarity with libraries like Hugging Face Transformers, langchain and llama index.

• Experience in building and deploying AI/ML solutions using cloud platforms (Azure).

• Knowledge of data retrieval, natural language processing (NLP), and reinforcement learning techniques.

• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

• Experience with model optimization, fine-tuning, and inference strategies to improve system performance.

Preferred Skills:

• Experience with advanced NLP tasks like text generation, summarization, and question answering, familiarity with reinforcement learning algorithms and their application in intelligent agent design.

• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

• Background in computer vision and image generation techniques..