Senior Professional - AI and DATA

About the Role

As a Senior Data Scientist at EY GDS Data and Analytics (D&A), your role will involve contributing to the development and implementation of cutting-edge AI solutions. With a minimum of 3 - 7 years of experience in Data Science and Machine Learning, you will play a key role in leveraging your technical expertise in AI technologies. Your responsibilities will include:

Responsibilities

• Contributing to the design and implementation of state-of-the-art AI solutions.
• Assisting in the development and implementation of AI models and systems, utilizing techniques such as Language Models (LLMs) and generative AI.
• Collaborating with stakeholders to identify business opportunities and define AI project goals.
• Staying updated with the latest advancements in generative AI techniques, such as LLMs, and evaluating their potential applications in solving enterprise challenges.
• Utilizing generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrating with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implementing and optimizing end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilizing vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implementing similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborating with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conducting research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establishing evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensuring compliance with data privacy, security, and ethical considerations in AI applications.
• Leveraging data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 3-7 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

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As a Senior Data Scientist at EY GDS Data and Analytics (D&A), your role will involve contributing to the development and implementation of cutting-edge AI solutions. With a minimum of 3 - 7 years of experience in Data Science and Machine Learning, you will play a key role in leveraging your technical expertise in AI technologies. Your responsibilities will include:

• Contributing to the design and implementation of state-of-the-art AI solutions.
• Assisting in the development and implementation of AI models and systems, utilizing techniques such as Language Models (LLMs) and generative AI.
• Collaborating with stakeholders to identify business opportunities and define AI project goals.
• Staying updated with the latest advancements in generative AI techniques, such as LLMs, and evaluating their potential applications in solving enterprise challenges.
• Utilizing generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrating with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implementing

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