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:

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. 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. 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. 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. 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. 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. 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. 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.