Key Responsibilities:

Design, develop and implement AI solutions for edge computing environments.
Collaborate with cross-functional teams to identify business needs and develop AI solutions that meet those needs.
Research and evaluate emerging AI technologies to continuously improve our edge computing capabilities.
Develop and maintain data pipelines to ensure accurate and efficient data processing.
Train and fine-tune machine learning models for optimal performance in edge computing environments.
Conduct thorough testing and validation of AI solutions to ensure accuracy and reliability.
Communicate complex AI concepts and solutions to non-technical stakeholders.
Keep up-to-date with industry trends and advancements in AI technology to provide strategic insights for the company.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum of 5 years of experience in developing AI solutions, preferably in edge computing environments.
Expertise in machine learning algorithms and frameworks such as TensorFlow, PyTorch, or Keras.
Strong programming skills in Python and/or C++.
Experience with edge computing platforms and frameworks such as Azure IoT Edge or AWS Greengrass.
Knowledge of data processing and analytics tools such as Spark, Hadoop, or Apache Kafka.
Familiarity with cloud computing and storage solutions.
Excellent problem-solving and critical thinking skills.
Strong communication and interpersonal skills.
Ability to work independently and in a team environment.

Opportunity to work with cutting-edge AI technology in the field of edge computing.
Collaborative and inclusive work culture that values diversity and innovation.
Competitive salary and benefits package.
Professional development and growth opportunities.
Chance to make a significant impact in a rapidly growing industry.

Join our team and be a part of shaping the future of AI in edge computing.

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