Key Responsibilities:

• Collaborate closely with the engineering team to conceptualize and craft AI models and solutions tailored for Network Assurance.
• Assess AI model performance using appropriate metrics and methodologies.
  – Seamlessly integrate AI solutions into our existing systems, focusing on optimization and efficiency.
• Engage in ongoing research to identify emerging trends, tools, and technologies within the AI domain to enhance our offerings.
• Contribute actively to brainstorming sessions, team meetings, and workshops.
• Document and present your discoveries and solutions to both technical and non-technical stakeholders.

Qualifications:

• Completion of an engineering degree, preferably in Computer Science, Information Technology, or a related field.
• Demonstrable experience or coursework in AI, Machine Learning, or Deep Learning.
• Proficiency in programming languages such as Python, Java, or C++.
• Familiarity with AI frameworks and libraries like TensorFlow, PyTorch, or Keras.
• Knowledge of Network Assurance or a strong willingness to learn about it.
• Strong problem-solving and analytical skills.
• Effective communication skills, both written and verbal.

Benefits:

• Opportunity to collaborate with experienced professionals and acquire hands-on experience.
• Exposure to real-world challenges in the dynamic field of AI.
• A platform to showcase and refine your skills and creativity.
• Certificate of completion at the end of the internship period.