What We Offer:  

• Canteen Subsidy
• Night Shift allowance as per process
• Health Insurance
• Tuition Reimbursement
• Work-Life Balance Initiatives
• Rewards & Recognition

What You’ll Be Doing:

Key Responsibilities: 

AI Agent Architecture and Functionality: 

• Design and implement AI agent architectures that meet business requirements. 
• Cloning an existing AI agent architecture work experience is preferable 
• Develop and integrate AI functionalities, including natural language processing (NLP), machine learning (ML), and deep learning (DL) models. 
• Ensure the scalability, reliability, and performance of AI systems. 

Manage Git and CD Pipelines: 

• Oversee version control using Git, ensuring efficient collaboration and code management. 
• Set up and maintain continuous integration/continuous deployment (CI/CD) pipelines to automate testing, building, and deployment processes. 
• Troubleshoot and resolve issues in the CI/CD pipeline to ensure smooth operations. 

Develop, Train, and Evaluate LLM Models: 

• Develop large language models (LLMs) tailored to specific use cases. 
• Train models using large datasets, optimizing for accuracy and performance. 
• Evaluate model performance using appropriate metrics and refine models based on feedback and testing results. 

Write and Manage Technical Documentation: 

• Create comprehensive technical documentation for AI models, pipelines, and systems. 
• Maintain up-to-date documentation to reflect changes and updates in the system. 
• Ensure documentation is clear, concise, and accessible to both technical and non-technical stakeholders. 

Set Up AWS Pipelines: 

• Design and implement AWS-based pipelines for data processing, model training, and deployment. 
• Utilize AWS services such as S3, EC2, Lambda, and SageMaker to build scalable and efficient workflows. 
• Monitor and optimize AWS resources to ensure cost-effective operations. 

What We Expect You To Have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 
• Proven experience in AI/ML model development and deployment. 
• Proficiency in Git and CI/CD tools (e.g., Jenkins, GitLab CI). 
• Strong knowledge of AWS services and infrastructure. 
• Excellent problem-solving skills and attention to detail. 
• Strong communication skills and ability to work collaboratively in a team environment.