This role is 1 Year direct contract with the client located in East.
The AI Engineer will be responsible for developing, deploying, and maintaining AI models tailored to the organization’s needs. This role involves ensuring the successful implementation of AI tools, including custom GPT models, and integrating them into the organization’s workflows. The AI Engineer will work closely with data analysts, IT, and department heads to ensure that AI solutions enhance efficiency and achieve business objectives.
Key Responsibilities:
- Model Development: Design, build, and deploy custom AI models (e.g., GPT-based tools) to meet a variety of organizational needs, such as automating meeting minutes, customer support, and internal knowledge management.
- System Integration: Integrate AI tools into existing enterprise systems, communication platforms, and databases. Develop APIs or leverage third-party tools to ensure seamless incorporation of AI models into workflows.
- Data Handling: Collect and prepare training data for AI models while ensuring compliance with data privacy and organizational policies. Implement secure data retention and processing standards, particularly when handling sensitive company information.
- Model Fine-Tuning and Maintenance: Continuously refine and optimize models based on user feedback, performance analysis, and changing business requirements. Regularly update models to align with new trends, data, and organizational goals.
- Collaboration: Partner with cross-functional teams (HR, IT, Operations) to identify AI opportunities and provide scalable solutions. Work with external AI vendors when needed to implement advanced AI technologies.
- AI Training and Support: Train employees on how to use AI tools and address common issues. Develop documentation and best practices for using AI models within the organization.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 3 years of experience in AI development, specifically in natural language processing (NLP) and machine learning models.
- Proficiency in AI and ML libraries (e.g., TensorFlow, PyTorch), OpenAI API, and NLP tools.
- Familiarity with enterprise systems, APIs, and system integration methods.
- Strong programming skills (Python, Java) and knowledge of data handling and security best practices.
- Excellent analytical and problem-solving skills, with the ability to translate business requirements into effective AI solutions.
Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.
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