Key Responsibilities:

Collaborate with cross-functional teams to design and develop edge AI solutions that meet business objectives and enhance user experience
Conduct research and stay up-to-date with the latest advancements in Edge AI technology to drive innovation and improve existing solutions
Develop and implement machine learning algorithms and models for predictive analysis and real-time decision making at the edge
Work closely with hardware and software engineers to optimize AI solutions for edge computing platforms
Conduct performance testing and debugging of edge AI solutions to ensure accuracy and efficiency
Create detailed documentation and provide support to other teams during the deployment and integration of edge AI solutions
Stay updated on data privacy and security regulations and ensure compliance in all edge AI solutions
Collaborate with stakeholders to identify business needs and translate them into technical requirements for edge AI solutions
Participate in meetings and presentations to communicate project progress, findings, and recommendations to stakeholders

Requirements:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field
Proven experience in developing edge AI solutions and deploying them in production environments
Strong understanding of machine learning techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning
Experience with edge computing platforms such as NVIDIA Jetson, Intel Movidius, or Raspberry Pi
Proficiency in programming languages such as Python, C++, and Java
Experience with popular AI frameworks such as TensorFlow, PyTorch, or Keras
Knowledge of data processing and analysis tools such as Apache Spark, Hadoop, or Kafka
Excellent problem-solving and analytical skills
Strong communication and teamwork abilities
Ability to work in a fast-paced and dynamic environment

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