About the Role
You will build AI agents work on LLM fine-tuning integrate with cloud systems (AWS) and help deploy intelligent solutions in packaging / manufacturing domains.
Key Responsibilities
- Develop train fine-tune LLM models for domain-specific tasks.
- Build AI agents chatbots and knowledge assistants.
- Integrate AI modules with backend edge or cloud systems (AWS).
- Work with DevOps / MLOps / data engineering teams to deploy models in production.
- Monitor model performance iterate maintain models ensure scalability & reliability.
Required Qualifications & Skills
- Bachelors / Masters in Computer Science / AI / Data Science.
- 35 years experience in AI/ML specifically with language models.
- Strong experience in LLM fine-tuning prompt engineering.
- Expertise in AWS (Sagemaker Lambda EC2 etc.).
- Familiarity with DevOps / CI/CD containerization (Docker Kubernetes).
Benefits
- Competitive salary and incentives.
- Opportunities for professional growth and learning.
- Collaborative and dynamic work environment.
- Exposure to large-scale government and PSU projects
- Health & Accidental Insurance
- 36 Annual Leaves (15 EL 10 PTO 6 ML 5 RH)
- Six-month appraisal cycle
About the RoleYou will build AI agents work on LLM fine-tuning integrate with cloud systems (AWS) and help deploy intelligent solutions in packaging / manufacturing domains.Key ResponsibilitiesDevelop train fine-tune LLM models for domain-specific tasks.Build AI agents chatbots and knowledge assista...
About the Role
You will build AI agents work on LLM fine-tuning integrate with cloud systems (AWS) and help deploy intelligent solutions in packaging / manufacturing domains.
Key Responsibilities
- Develop train fine-tune LLM models for domain-specific tasks.
- Build AI agents chatbots and knowledge assistants.
- Integrate AI modules with backend edge or cloud systems (AWS).
- Work with DevOps / MLOps / data engineering teams to deploy models in production.
- Monitor model performance iterate maintain models ensure scalability & reliability.
Required Qualifications & Skills
- Bachelors / Masters in Computer Science / AI / Data Science.
- 35 years experience in AI/ML specifically with language models.
- Strong experience in LLM fine-tuning prompt engineering.
- Expertise in AWS (Sagemaker Lambda EC2 etc.).
- Familiarity with DevOps / CI/CD containerization (Docker Kubernetes).
Benefits
- Competitive salary and incentives.
- Opportunities for professional growth and learning.
- Collaborative and dynamic work environment.
- Exposure to large-scale government and PSU projects
- Health & Accidental Insurance
- 36 Annual Leaves (15 EL 10 PTO 6 ML 5 RH)
- Six-month appraisal cycle
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