Senior AI Specialist
Senior AI Specialist
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Salary Not Disclosed
1 Vacancy
Job Description
Minimum requirements:
- Advanced Diplomas/National 1st Degrees
- Computer Science Informatics Engineering Degrees (preferred) Candidates should have development experience in generative models such as M365 CoPilot Bing Chat GitHub CoPilot GPT and Transformer models. Candidates should identify the use case define POC generative AI models and test the models extensively to ensure they meet quality/performance.
- Proven experience in developing and deploying Gen AI solutions in a realworld setting.
- Programming skills in languages such as Python C or Java will be advantageous.
- Understanding of machine learning deep learning and natural language processing techniques.
- Prompt Engineering skills would be an advantage.
- Furthermore one should have a good understanding of the ethical social and legal implications of developing and deploying Gen AI systems.
- Excellent problemsolving skills and the ability to work on complex unstructured problems.
- Strong communication and presentation skills with the ability to convey complex AI concepts to nontechnical stakeholders.
- Experience with cloud computing platforms (e.g. AWS Azure Google Cloud) is a plus.
- Experience in leading and mentoring junior team members is a plus.
Technical / Professional Knowledge
- Technical skills
- Product management
- Project Management
- Financial management
- Strategy planning and execution
- Vendor Management Skills
- Stakeholder management
- Governance Risk and Controls
- Relevant regulatory knowledge
Responsibilities:
- Gen AI Strategy: Collaborate with the leadership team to define and execute the companys AI strategy identifying opportunities to leverage Gen AI to drive business growth and innovation.
- Agile Leadership: Lead Gen AI squads from conception to implementation ensuring that they are delivered on time and meet the highest quality standards.
- Algorithm Development: Develop and optimize machine learning and deep learning algorithms to solve complex business problems.
- Model Training and Evaluation: Build train and evaluate Gen AI models using large datasets continuously improving model performance and accuracy.
- Mentorship: Provide guidance and mentorship to junior Gen AI team members fostering their professional growth and development.
- Research and Innovation: Stay current with the latest Gen AI research and technologies identifying opportunities to incorporate new advancements into our Gen AI solutions.
- Crossfunctional Collaboration: Work closely with product managers engineers and other stakeholders to integrate AI capabilities into our products and services.
- Ethical AI: Ensure that Gen AI models and solutions adhere to ethical guidelines and data privacy regulations.
Employment Type
Full Time
