EY seeks a Senior Data Scientist with 3-7 years of professional experience to join our team. In this role, you will be instrumental in developing and implementing advanced AI solutions, leveraging your deep technical expertise in machine learning and generative AI to address complex enterprise challenges.
What You'll Do
- Contribute to the design and implementation of state-of-the-art AI solutions.
- Develop and implement AI models and systems, leveraging techniques like LLMs and generative AI.
- Collaborate with stakeholders to identify business opportunities and define AI project goals.
- Stay updated with the latest advancements in generative AI and evaluate their potential enterprise applications.
- Utilize generative AI to develop innovative solutions for industry-specific use cases.
- Integrate with APIs and libraries such as Azure OpenAI GPT models and Hugging Face Transformers.
- Implement and optimize end-to-end pipelines for generative AI projects.
- Utilize vector databases and NoSQL databases to handle large-scale datasets.
- Implement similarity search algorithms for efficient retrieval of information from AI outputs.
- Collaborate with domain experts and clients to tailor AI solutions to specific business requirements.
- Conduct research on advanced techniques like transfer learning and model compression.
- Establish evaluation metrics to assess the quality and relevance of generative AI outputs.
- Ensure compliance with data privacy, security, and ethical considerations.
- Leverage data engineering skills to curate, clean, and preprocess large-scale datasets.
What We're Looking For
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 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 like 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 or generation.
- Experience with cloud platforms (Azure, AWS, or GCP) and deploying AI solutions in the cloud.
- Expertise in data engineering, including data curation, cleaning, and preprocessing.
- Knowledge of trusted AI practices ensuring fairness, transparency, and accountability.
- Strong collaboration skills to work with software engineering and operations teams.
- Excellent problem-solving and analytical skills to translate business needs into technical solutions.
- Strong communication and interpersonal skills for effective stakeholder collaboration.
- Understanding of data privacy, security, and ethical considerations in AI.
- A track record of driving innovation and staying current with AI research.
Nice to Have
- A Ph.D. is a plus.
- Experience applying trusted AI practices to ensure fairness and transparency.
Technical Stack
- Languages: Python, R
- Frameworks: TensorFlow, PyTorch, Hugging Face Transformers
- Cloud Platforms: Azure, AWS, GCP
- Databases: Redis, NoSQL databases
EY is an equal opportunity employer.
