IGNITE Trainee -Artificial Intelligence

As part of the IGNITE Program — a one-year training initiative by EDGE Group — we are seeking Emirati fresh graduates with knowledge in AI, ML, Computer Vision, Sensor Fusion, Predictive Modeling, Data Analytics, and Deployment. This program provides hands-on experience, mentorship, and exposure to cutting-edge technologies, empowering you to drive innovation and enhance our product offerings. Ideal candidates are passionate about solving complex problems using advanced AI and ML technologies.

Key Accountabilities:

• Lead the design and enhancement of ML and DL algorithms to elevate our product suite.

• Strategize with cross-functional teams to unearth and tackle intricate challenges using AI, computer vision, sensor fusion, and advanced predictive models.

• Pioneer the architecture and deployment of cutting-edge CV algorithms and ML models tailored for intricate video analytics.

• Orchestrate advanced predictive models utilizing the latest machine learning algorithms and comprehensive data scrutiny.

• Analyze multifaceted datasets, drawing out critical insights for business needs.

• Design sophisticated data visualizations to lucidly present findings to stakeholders.

• Steer the development and calibration of models for sensor fusion discrepancies.

• Pilot the deployment of predictive models in real-world scenarios, shaping pivotal business strategies.

• Interpret diverse video inputs from sources like cameras, sensors, and drones, filtering out the essence.

• Push the envelope in deep learning applications, exploring realms like CNN, RNN, LSTM, and GANs for astute video dissection.

• Forge ahead in object detection, tracking, and recognition arenas.

• Persistently assess the efficacy of models, algorithms, and fusion techniques, advocating evolutionary shifts.

• Engage in contemporary research, staying abreast with the forefront of AI, computer vision, and predictive analytics.

• Comprehensively document discoveries and engage in dialogues with both internal teams and external peers.

Experience & Education Qualifications:

• A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or akin disciplines.

• Experience in sculpting and deploying ML, CV, sensor fusion, and deep learning constructs.

• Adeptness and experienced in programming with Python, C++, or Matlab, and fluency with deep learning frameworks like TensorFlow, Keras, or PyTorch.

• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.

• Proficiency in optimization techniques, both for model training and real-time performance.

• Ability to design, conduct, and analyze A/B tests and other experimentation methodologies.

• Familiarity with advanced ML platforms and tools like NVIDIA DeepStream, MLflow, or Kubeflow.

• Deep understanding of edge computing and experience deploying AI/ML solutions on edge devices.

• Knowledge of cybersecurity best practices, especially related to AI and data protection.

• An analytical mind coupled with impeccable problem-solving prowess, adaptable to a dynamic work rhythm.

• Stellar communication faculties with a penchant for teamwork and collaboration.

• Demonstrable experience in materializing predictive models into tangible business applications.

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