GenAI Data Scientist

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

• Work across client teams to develop and architect Generative AI solutions using ML and GenAI
• Develop and promote standards across the community
• Evaluate and select appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies
• Work with leadership and stakeholders to identify AI opportunities and promote strategy.
• Develop and conduct trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes.
• Build and prioritize backlog for future machine-learning enabled features to support client business processes.
• Design and build generative models, selecting the most suitable architecture (e.g., GANs, VAEs) based on the desired output (text, images, code). This involves writing code using Python libraries like Tensor Flow or PyTorch.

• Bachelor's degree or equivalent experience
• 6+ years of experience programming in Python or R with libraries like Tensor Flow, PyTorch, or Keras
• 5+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM)
• 5+ years of experience building and maintaining scalable API solutions
• 5+ years of experience in data wrangling/cleansing, statistical modeling, and programming
• 5+ years of extensive experience working in an Agile development environment
• 3+ years of solid understanding of machine learning algorithms, including supervised and unsupervised learning
• 3+ years of deep learning architectures like convolutional neural networks (CNNs) for image generation and recurrent neural networks (RNNs) for text generation are key areas of focus.
• 3+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, Lang Chain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Must be able to obtain and maintain the required clearance for this role
• Delivery Center Location & Travel Requirements:
  • Hybrid Work Model:
    Operate under a hybrid system requiring residence within a commutable distance to one of the US Delivery Center locations (Gilbert, Lake Mary, or Mechanicsburg)
  • Co-location Expectation:
    Spend up to 30% of working time co-located at an assigned office for orchestrated opportunities, including projects, practice sessions, training, and Moments That Matter at a Deloitte Delivery Center location, Geo-Hub location, approved site, or project location
  • Travel Requirement:
    Maximum of 10% overnight travel for client or project purposes
  • Relocation Requirement:
    If relocation is necessary, complete the move within 12 weeks from the start date to reside within a commutable distance

• Understanding how to apply these models for tasks like text generation, image creation, or data augmentation is essential.
• Understanding language modeling concepts like n-grams and how they relate to LLM training is important.
• Familiarity with cloud platforms like AWS, Google Cloud, or Azure can be helpful for deploying and scaling LLM models, especially for large datasets.
• Knowledge of NLP techniques like text pre-processing, tokenization, and sentiment analysis can be valuable for crafting effective prompts.
• In depth understanding of AI protocols and standards