
Generative AI Professional
7 days ago
A pivotal role within our team will grant you a deeper understanding of an organisation's objectives, risk management environment and diverse stakeholder needs.
We focus on empowering organisations to excel by considering culture and behaviours to improve and embed controls. We aim to address key risks and add value to the organisation.
Key Responsibilities- Architecture Design: Develop and implement scalable, secure and high-performance architectures for Generative AI applications.
- Integrate Generative AI models into existing platforms, ensuring seamless compatibility and performance optimisation.
- Model Development and Deployment: Refine pre-trained generative models for domain-specific use cases, define Data Collection, Sanitization and Data Preparation strategies for Model fine tuning.
- Evaluate, select and deploy suitable Generative AI frameworks, such as PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow.
- Innovation and Strategy: Stay up-to-date with the latest advancements in Generative AI and suggest innovative applications to solve complex business problems.
- Develop and execute the AI strategy roadmap, identifying key opportunities for AI transformation.
- Collaborate with cross-functional teams, including data scientists, engineers and business stakeholders.
- Mentor and guide team members on AI, ML best practices and architectural decisions.
- Lead a team of data scientists, GenAI engineers and Software Developers.
About This Role
This is a challenging opportunity for individuals passionate about Generative AI to drive innovation and growth.
What You Will Gain
You will develop expertise in Generative AI, collaborate with experts and drive meaningful change.
Requirements
The ideal candidate will possess strong technical skills, excellent communication abilities and a passion for driving innovation.
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