AI Engineer Full Time

AI Engineer Jobs in Abu Dhabi, UAE

Job Summary:

We are in search of Emirati  professionals with a profound expertise in AI, ML, Computer Vision, Sensor Fusion, Predictive Modeling, Data Analytics, and Deployment. Our aim is to push the boundaries of innovation and enhance our product offerings. Candidates who possess a passion for delving deep into complex problems using advanced AI and ML technologies are ideal for this role.

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.
• Knowledge and hands-on 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.