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.