AI Engineer designing and building frameworks for dynamic interactions with public health data. Collaborating with teams to ensure compliance and optimize performance in AI systems.
About the role
- Platform AI Lead at iProov focusing on developing AI systems to counter biometric threats. Collaborating with ML engineers and driving effective implementation of cutting edge AI technologies.
Responsibilities
- Develop and lead the implementation of strategies to detect and mitigate biometric threats
- Work closely with the Head of Biometric Platform to develop and optimise AI-based systems as required in the biometric platform
- Work closely with the Head of Core AI to align the development of systems across teams
- Drive improvements in the processes by which systems are developed and updated including the creation and management of datasets
- Develop and maintain an in-depth understanding of emerging biometric threat landscapes
- Lead the development of algorithms and models to detect and prevent biometric threats and drive the process to successful deployment
- Collaborate with cross-functional teams to integrate biometric security solutions into existing systems and processes
- Develop and maintain relationships with external partners, including academic researchers and industry experts, to stay up-to-date on the latest advancements in AI
- Assign work to ML engineers, managing their workload and project expectations
- Ensure the team is motivated and understands the tasks assigned to them. Ensure the team have the time and resources to be able to do their work to a high standard
- Support the team in their career and learning goals
Requirements
- Bachelor's or Master's degree in ML, AI, Computer Science or related field
- At least 3 years of experience in AI (preferred)
- Demonstrated experience in developing and implementing effective cutting edge AI systems
- Strong awareness of state of the art AI and developments in the field
- Excellent communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders
- Strong problem-solving skills and ability to work under pressure
- Experience with programming languages such as Python, C++ or Java
- Experience with machine learning frameworks such as TensorFlow, PyTorch or Keras
- Proven interest in taking on a management role.
Benefits
- Flexible working hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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