AI Transformation Engineer
Location
Gurgaon | India
Job description
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.
Job tags
Salary
