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ARTIFICIAL INTELLIGENCE RESEARCHER

An artificial intelligence researcher explores and develops innovative algorithms, models, and techniques to advance the field of artificial intelligence. They focus on designing and optimizing algorithms for machine learning, natural language processing, computer vision, or other AI domains to create intelligent systems capable of solving complex problems and mimicking human intelligence.

LOCATION

Sri Lanka

EMPLOYMENT TYPE

Permanent

What You’ll Do

  • Algorithm Development: Design and develop advanced AI algorithms and models specifically tailored for robotics applications. This includes creating algorithms for perception, decision-making, planning, control, and learning that enable robots to interact with and understand their environment.

  • Machine Learning and Deep Learning: Apply machine learning and deep learning techniques to improve the capabilities of robotic systems. This involves training models on large datasets to enhance object recognition, natural language processing, motion planning, and other AI-driven functionalities.

  • Sensor Integration: Work on integrating various sensors, such as cameras, LIDAR, and depth sensors, into robotic systems to enable perception and data collection. Develop algorithms that process sensor data in real-time for tasks like object detection, localization, and mapping.

  • Computer Vision: Develop computer vision algorithms to enable robots to interpret visual data, recognize objects, detect gestures, and navigate complex environments. This includes tasks like image segmentation, object tracking, and scene understanding.

  • Reinforcement Learning: Explore and apply reinforcement learning techniques to enable robots to learn and improve their behaviors through interaction with the environment. Develop algorithms that allow robots to learn from trial and error, optimizing their actions to achieve desired outcomes.

  • Human-Robot Interaction: Contribute to the development of AI models and algorithms that enhance human-robot interaction. This can involve natural language processing, emotion recognition, gesture understanding, and the ability to collaborate and communicate effectively with humans.

  • Research and Innovation: Stay updated with the latest advancements in AI and robotics, explore new methodologies, and contribute to research projects within the company. This includes publishing research papers, attending conferences, and collaborating with other researchers and engineers.

  • Performance Evaluation and Optimization: Evaluate the performance of AI algorithms and models in real-world robotic systems. Optimize algorithms to improve efficiency, accuracy, and reliability, ensuring that the AI capabilities meet the requirements of the robotics applications.

  • Collaboration and Teamwork: Collaborate with a multidisciplinary team of engineers, software developers, and domain experts to integrate AI technologies into robotic systems. Work closely with other teams to align AI research with the overall goals and objectives of the company.

  • Ethical Considerations: Consider ethical implications and potential biases in AI algorithms and models used in robotics. Ensure fairness, transparency, and accountability in the development and deployment of AI technologies.

Who You are

  • Education and Qualifications: The company will expect the candidate to have a strong academic background in artificial intelligence, machine learning, computer science, or a related field. A Ph.D. in AI or a closely related discipline is often preferred, although relevant industry experience and master's degrees can also be considered.

  • Research Experience: Companies will look for candidates with a proven track record of research in artificial intelligence. They may seek individuals who have published papers in top-tier conferences or journals, contributed to research projects, or obtained patents related to AI advancements.

  • Technical Skills: Proficiency in AI-related programming languages, such as Python or R, is essential. Companies may also require experience with popular AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Expertise in machine learning algorithms, deep learning architectures, statistical modeling, and data analysis is highly valued.

  • Algorithm Development: Companies will expect candidates to have expertise in designing and developing advanced AI algorithms, models, and techniques. This includes experience in developing novel approaches to solving complex problems in areas such as computer vision, natural language processing, reinforcement learning, or robotics.

  • Problem-Solving Abilities: Strong problem-solving skills and the ability to apply AI techniques to real-world challenges are crucial. Companies will look for candidates who can think critically, develop innovative solutions, and demonstrate a deep understanding of AI principles and methodologies.

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  • Programming and Software Development: Proficiency in software development practices and familiarity with version control systems are often required. Companies may seek candidates with experience in developing clean, efficient, and scalable code, and the ability to work with interdisciplinary teams in a collaborative software development environment.

  • Collaboration and Communication: Effective collaboration and communication skills are essential in AI research. Companies may look for candidates who can work well in interdisciplinary teams, effectively communicate complex concepts to both technical and non-technical stakeholders, and collaborate on research projects with other researchers, engineers, and domain experts.

  • Continuous Learning and Innovation: Given the rapidly evolving nature of AI, companies will value candidates who demonstrate a passion for continuous learning and keeping up with the latest advancements in the field. They may look for individuals who actively contribute to the AI community, engage in ongoing learning opportunities, and demonstrate a mindset of innovation and exploration.

  • Ethical Considerations: Awareness of ethical implications and responsible AI practices is increasingly important. Companies may seek candidates who understand the ethical considerations surrounding AI research and demonstrate a commitment to fairness, transparency, and accountability in AI development

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