AI Engineer

About HALCON
HALCON is a regional and international leader that offers next-generation Weapons Systems and Robotics Expertise to meet the challenges of a rapidly changing world. HALCON has developed in-house expertise across the entire value chain for gravity-release bomb guidance systems. This includes design, development, testing, manufacturing and assembly. Our end-to-end capabilities ensure exceptional quality and competitive pricing. As well, we are faster and more flexible in meeting customer requirements.
Job Summary:
An AI engineer should be a trainee in the field of AI, capable of building and training AI models for various datasets across different AI domains. They should be knowledgeable about AI frameworks, function as a member of an AI team, and contribute to AI prototyping, evaluation, and testing. Additionally, they should be able to write technical documentation and reports.
Key Accountabilities:

• Take a part of developing and implementing ML and DL algorithms to improve Halcon’s products and services
• To write technical procedures and specification about the existing AI solutions for systems/subsystems.
  
• Collaborate with cross-functional teams to identify and solve problems using AI, computer vision, sensor fusion, and predictive modeling techniques.
• Perform data analytics to derive valuable insights from diverse datasets and create data visualizations to effectively communicate insights to stakeholders.
• Take a part of monitoring and evaluating the performance of the models, algorithms, and sensor fusion methods, providing recommendations for improvements.
• Build predictive models using advanced AI techniques and data analysis.
• Writing technical and non-technical documents and present findings and results to internal and external stakeholders.
• Participate in research activities to stay up to date with the latest developments in AI, computer vision, sensor fusion, predictive modeling and suggestions of proposing AI solutions.
• Implement object detection, tracking, recognition, predictive and classification techniques in the different AI domains such as ML/DL, CV, NLP and others.
  

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Experience & Education Qualifications:

• Bachelors in computer science, Computer Engineering, Electrical Engineering, or a related field.
• 3+ years of applicable experience in deploying smart AI solutions, ML/DL, and CV. Exposure to NLP, robotics, expert systems, sensor fusion, predictive analytics and automation.
• Good experience with programming languages (C/C++, Python, and others). Good hands-on experience in using AI tools and frameworks. Good experience in deploying AI solutions in edge devices and familiar with computational
  

Power Optimization. Training/qualifications In AI-related.
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