Software Engineer (AI/ML)
Summary
Build, fine-tune, and deploy LLMs and generative AI models; develop NLP algorithms, vector databases, and conversational AI systems for production pipelines.
- Build and fine-tune LLMs
- Build vector database and semantic search solutions
- Conduct RAG research
- Create conversational AI applications
- Deploy ML models to cloud or on prem systems
- Design generative AI models
- Develop NLP algorithms
- Evaluate model performance with testing frameworks
- Implement chatbots and virtual assistants
- Implement prompt engineering
- Integrate NLP and GenAI into production pipelines
- Process and analyze large datasets
- Research emerging ML and NLP techniques
- Train deep learning models
- Tune hyperparameters to optimize performance
Perks/Benefits:
- Birthday day off
- Career advancement
- Employee assistance program
- Gratuity
- Group personal accident insurance
- Group term life insurance
- Learning and development opportunities
- Maternity leave
- Medical insurance
- Paid Holidays
- Paid casual leave
- Paid sick leave
- Paternity leave
- Privilege leaves
- Provident fund
- Work-life balance