Consulting – Generative AI Engineer/Developer needed at Deloitte

Job Description

The Generative AI Engineer / Developer will, as part of several client delivery teams, be responsible for developing, designing, and maintaining cutting-edge AI-based conversation systems, ensuring smooth and engaging user experiences. Additionally, the person will participate in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review. The kinds of activities performed by the Prompt Engineer will also include, but not be limited to:

•  Working across client teams to develop and architect Generative AI solutions using ML and GenAI.
•  Developing and promoting standards across the community.
•  Evaluating and selecting 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.
• Working with leadership and stakeholders to identify AI opportunities and promote strategy.
•  Developing and conducting trainings for clients on principles used to develop models and how to interact with models to facilitate their business processes.
•  Building and prioritizing future machine-learning enabled features to support client business processes.

Qualifications

• Bachelor’s degree (B.Sc., B.Eng, B.Tech., HND, etc.) in Computer Science, Engineering, Information Technology, or related field with a minimum of second class upper degree/upper credit.
• Have minimum of a credit in five (5) O ’levels subjects including Mathematics and English in one sitting only.
• 5+ years of professional experience.
• 4+ years of experience programming in Python or R.
• 1+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM).
• 2+ years of experience building and maintaining scalable API solutions.
• 1+ years of experience with GenAI or a similar tool.
• In-depth understanding of AI protocols and standards.
• Understanding of technology risks and the ability to assess and mitigate them.
• Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context.
• Experience with debugging and troubleshooting software or solutions design issues.
• Proven ability to stay current with best practices and new technology solutions in the field.
• Ability to display both breadth and depth of knowledge regarding functional and technical issues.

Person-Specifications

• Cloud Certifications including Cloud Architect, Cloud Engineer, ML Engineer, DevOps Engineer.
• Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical).
• FSI or Telco Industry experience.
• Strong leadership / stakeholder management.
• Possess excellent written and oral communication/presentation skills.