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Lead Artificial Intelligence Specialist
1 month ago
About Us
Our core strengths are in navigating the most complex regulations and environments, creating some of the most innovative products in the world. For instance, we are the first platform globally to simplify and offer investment-linked life and health insurance online, coupled with an instant talk-to-agent service.
If you enjoy building cutting edge platforms and ecosystems to give equal access to financial services for the masses - Speak to us.
We are seeking a highly skilled and experienced Lead Artificial Intelligence Specialist to lead our AI initiatives. As the Lead AI Specialist, you will be responsible for driving the development and implementation of AI solutions across various projects and departments. You will lead a team of AI engineers and data scientists, guiding them in designing, developing, and deploying cutting-edge AI models and algorithms.
**Responsibilities**:
- Lead the development and implementation of AI solutions to solve complex business problems.
- Collaborate with stakeholders to understand business requirements and identify opportunities for AI integration.
- Manage and mentor a team of AI engineers and data scientists, providing technical guidance and support.
- Design and architect AI systems and pipelines, ensuring scalability, reliability, and performance.
- Research and evaluate new AI techniques, tools, and technologies to stay at the forefront of the field.
- Lead AI-related projects from conception to deployment, ensuring timely delivery and adherence to quality standards.
- Drive innovation and continuous improvement in AI methodologies, processes, and practices.
- Stay updated on industry trends and best practices in AI and machine learning.
**Requirements**:
- Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- Proven experience in leading AI projects and teams, with a minimum of [X] years in a leadership role.
- Expertise in machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
- Proficiency in programming languages such as Python, R, or Java, and libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).
- Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform) for AI development and deployment.
- Excellent problem-solving and analytical skills, with a focus on delivering actionable insights and solutions.
- Strong leadership, communication, and interpersonal abilities.
- Ability to work effectively in a cross-functional team environment and manage multiple priorities.
**Benefits**
- Be at the forefront at tackling the hardest problems within the insurance industry
- Team culture - highly practical and results oriented
- Free training and development, constantly improve yourself
- Subsidized insurance coverage for medical and life insurance
- Great lifestyle - free weekly lunch and many more
- Hybrid working arrangement