Job Title: AI Transformation Engineer

Job Overview: Skilled and dynamic AI Transformation Engineer to join our team and contribute to the successful implementation of AI-driven transformations across network domain. The ideal candidate will have a strong technical background in artificial intelligence, machine learning, and data engineering, combined with a passion for driving innovative solutions.

Responsibilities:

1. AI Solution Design:
   • Collaborate with cross-functional teams to understand business requirements and design AI solutions that address specific challenges.
   • Develop and implement end-to-end AI systems, ensuring they align with organizational goals.
2. Data Processing and Integration:
   • Work with large datasets, ensuring effective data preprocessing, cleansing, and integration for use in AI models.
   • Integrate AI solutions with existing systems and databases, ensuring seamless data flow.
3. Model Development and Implementation:
   • Build and train machine learning models using a variety of algorithms and frameworks.
   • Implement and optimize AI models for deployment in real-world scenarios.
4. Collaboration with Stakeholders:
   • Engage with business stakeholders to understand their needs and provide technical insights on AI capabilities.
   • Collaborate with data scientists, analysts, and domain experts to refine and enhance AI solutions.
5. Testing and Validation:
   • Develop testing protocols to validate the performance and accuracy of AI models.
   • Work closely with quality assurance teams to ensure the reliability of AI solutions.
6. Deployment and Integration:
   • Deploy AI models into production environments, ensuring scalability and reliability.
   • Collaborate with IT teams to integrate AI solutions into existing business processes and systems.
7. Documentation:
   • Create comprehensive documentation for AI models, including architecture, data flow, and integration points.
   • Provide clear documentation for end-users and technical teams regarding AI system functionalities.
8. Continuous Improvement:
   • Monitor the performance of deployed AI solutions and implement updates and improvements as needed.
   • Stay abreast of industry trends and advancements in AI, recommending enhancements to existing systems.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Proven experience in developing and implementing AI solutions in a business context.
• Proficiency in programming languages such as Python, Java, or R.
• Strong understanding of machine learning algorithms and frameworks.
• Familiarity with cloud platforms and services for AI development and deployment.

Preferred Skills:

• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of natural language processing (NLP) and computer vision.
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, cross-functional environment.