Leverage data-driven techniques to design, develop and improve Generative AI models, drawing on expertise in areas such as machine learning, deep learning, and statistics
Utilizing Python for building high-quality GenAI systems. Expert level skills in using Python libraries and frameworks such as NumPy, Pandas, PyTorch / TensorFlow, Llamachain, and LangChain.Strong development experience in using LLMs, preferably GPT4 and Llama2 LLMs. Strong experience on Embedding methods.
A strong optimization and fine-tuning LLMs / Embedding and LLM Evals required
Build and maintain robust data pipelines: responsible for collecting, cleaning, processing, and transforming raw data into the usable format for the Generative AI models.
Running rigorous testing and validation of the models to ensure accuracy, quality, and generalization of the models on unseen datasets.
Staying abreast of the latest developments in the fields of Data Science, AI and Machine Learning in order to continually improve the project's methodologies and outputs.
Presenting complex results in a clear and concise manner to stakeholders with different backgrounds, and advising on the best strategies based on the model's findings.
Ensure that all models and algorithms developed adhere to KPMG standards and best practices, and comply with all relevant regulatory and company privacy policies.
Work experience
3+ years of development experience /ML experience in the production level scalable systems.
Possess a solid background in developing data science projects, handling complex large data sets – unstructured, semi-structured, or structured.
Conduct comprehensive data analysis and modeling, applying AI / ML and statistical methods to large datasets to effectively harness useful insights and generate creative outputs.
Experience with SDLC methodologies, particularly Agile and project management tools, preferably Azure DevOps
Working experience on Azure Cloud
Fast prototype development
Roles & responsibilities
Leverage data-driven techniques to design, develop and improve Generative AI models, drawing on expertise in areas such as machine learning, deep learning, and statistics
Utilizing Python for building high-quality GenAI systems. Expert level skills in using Python libraries and frameworks such as NumPy, Pandas, PyTorch / TensorFlow, Llamachain, and LangChain.Strong development experience in using LLMs, preferably GPT4 and Llama2 LLMs. Strong experience on Embedding methods.
A strong optimization and fine-tuning LLMs / Embedding and LLM Evals required
Build and maintain robust data pipelines: responsible for collecting, cleaning, processing, and transforming raw data into the usable format for the Generative AI models.
Running rigorous testing and validation of the models to ensure accuracy, quality, and generalization of the models on unseen datasets.
Staying abreast of the latest developments in the fields of Data Science, AI and Machine Learning in order to continually improve the project's methodologies and outputs.
Presenting complex results in a clear and concise manner to stakeholders with different backgrounds, and advising on the best strategies based on the model's findings.
Ensure that all models and algorithms developed adhere to KPMG standards and best practices, and comply with all relevant regulatory and company privacy policies.
Work experience
3+ years of development experience /ML experience in the production level scalable systems.
Possess a solid background in developing data science projects, handling complex large data sets – unstructured, semi-structured, or structured.
Conduct comprehensive data analysis and modeling, applying AI / ML and statistical methods to large datasets to effectively harness useful insights and generate creative outputs.
Experience with SDLC methodologies, particularly Agile and project management tools, preferably Azure DevOps
Working experience on Azure Cloud
Fast prototype development
Educational qualifications
Bachelor’s / Master’s in computer science engineering or equivalent or relevant experience
Certification in cloud technologies especially Azure open AI would be good to have
