AI Specialist

The AI Specialist leads the development and deployment of AI use cases, aligning them with the organisation's strategic goals to reinforce its leadership in AI-driven solutions. This role focuses on driving innovation, guiding the team in implementing advanced AI technologies, and integrating AI models into products successfully.

Client Details

Company specializing in digital transformation and advanced technology solutions, particularly in security, transportation, and data analytics. It supports government and private sectors by providing innovative AI-driven solutions to enhance efficiency, safety, and decision-making capabilities across various industries.

Description

1. Lead the identification, design, and deployment of AI use cases that drive business value and enhance product offerings.
2. Manage the full lifecycle of AI projects, ensuring alignment with business goals and customer needs.
3. Collaborate with stakeholders to define project requirements and ensure effective execution.
4. Drive innovation by exploring new AI technologies and proposing solutions to expand intellectual property.
5. Oversee computer vision development, ensuring integration into products and high performance in use cases.
6. Lead NLP use case development and model implementation, aligning efforts with strategic goals.
7. Guide data science model creation and analysis for strategic decision-making aligned with business objectives.
8. Drive AI research initiatives, proposing innovative use cases to expand the product portfolio.
9. Manage project plans and provide technical leadership, aligning AI initiatives with company strategy.
10. Foster continuous learning, staying updated on AI advancements to keep AI capabilities cutting-edge.

Profile

1. 4 to 6 years of relevant AI and machine learning experience, including computer vision applications (object detection, tracking, segmentation, OCR, and medical imaging).
2. Proficient in implementing advanced algorithms in computer vision and machine learning, including image recognition and face applications.
3. Strong skills in mathematics and statistics, with the ability to translate research papers and concepts into practical implementations.
4. Knowledgeable in data science, covering statistics, machine learning, text mining, recommender systems, and deep learning.
5. Programming experience in R, Python, C, C++, and Java, with proficiency in TensorFlow, Docker, and Kubernetes for model deployment.
6. Familiar with NVIDIA NGC, DeepStream technology, and security practices for AI model deployment.
7. Desirable experience in NLP, big data technologies, and AI solutions for smart cities.
8. Bachelor's degree in Mathematics, Statistics, Computer Science, or Engineering required; a Master's degree or certifications in deep learning, machine learning, or data science is preferred.

Job Offer

To be discussed at interview stage.

Skills

AI, Computer Vision