Engineer - Artificial Intelligence - G42

Responsibilities

• Algorithm Development: Design develop and optimize computer vision algorithms and models for various surveillance applications including object detection tracking activity recognition and anomaly detection.
• Data Analysis: Collect preprocess and analyze large datasets to train and evaluate computer vision models. Ensure data quality and relevance for model accuracy.
• Model Training: Implement and finetune deep learning models using frameworks such as TensorFlow PyTorch or Keras. Apply techniques such as transfer learning and domain adaptation to enhance model performance.
• System Integration: Integrate AI models into realtime surveillance systems and ensure their seamless operation within existing infrastructure. Collaborate with software engineers to deploy models effectively.
• Performance Optimization: Monitor and optimize the performance of computer vision systems including processing speed accuracy and resource utilization. Identify and resolve issues related to model performance.
• Research and Development: Stay uptodate with the latest advancements in computer vision and AI. Propose and implement innovative solutions to improve surveillance capabilities and address emerging challenges.
• Documentation and Reporting: Document model development processes methodologies and results. Prepare reports and presentations for internal and external stakeholders.
• Collaboration: Work closely with crossfunctional teams including data scientists software engineers and project managers to ensure successful project and delivery.

Qualifications:

• Education: Bachelors or Masters degree in Computer Science Electrical Engineering Applied Mathematics or a related field. Advanced degrees are a plus.
• Experience: Proven experience in developing and deploying computer vision algorithms and models for surveillance or related applications. Demonstrated expertise with relevant tools and frameworks.
• Technical Skills:
• Proficiency in programming languages such as Python C or Java.
• Strong knowledge of computer vision libraries and frameworks (e.g. OpenCV Dlib TensorRT).
• Experience with deep learning frameworks (e.g. TensorFlow PyTorch).
• Familiarity with cloud platforms (e.g. AWS Azure Google Cloud) for deploying and scaling models.
• Analytical Skills: Strong problemsolving abilities and a solid understanding of machine learning principles and computer vision techniques.
• Communication Skills: Excellent written and verbal communication skills. Ability to explain complex technical concepts to nontechnical stakeholders.
• Team Player: Ability to work collaboratively in a fastpaced environment and contribute effectively to team objectives.

Preferred Qualifications:

• Experience with surveillancespecific applications such as facial recognition license plate recognition or behavior analysis.
• Knowledge of data privacy and security considerations related to surveillance systems.
• Experience with edge computing and realtime processing constraints.

What we look for:
If you are a performancedriven inquisitive mind with the agility to adapt to ambiguity you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customercentric solutions. Bias for action and a passion to conquer new frontiers in the Big Data Analytics space is at the heart of the Presight community.

What working at Presight offers:
Culture: An open diverse and inclusive environment with a global vision that encourages personal growth and focuses on groundbreaking industryfirst innovations.
Career: Outstanding learning development & growth opportunities via structured training programs and innovative hightech projects.
Rewards: A competitive remuneration package with a host of perks including healthcare education support leave benefits and more.