Key Responsibilities
- Develop scalable and optimized enterprise AI solutions.
- Build and manage AI agents and multi-agent systems.
- Perform hands-on fine-tuning, transfer learning and optimization of Transformer-based models.
- Develop GenAI and LLM applications using up-to-date AI frameworks.
- Implement prompt engineering and optimize model performance.
- Deploy AI/ML models using Docker and Kubernetes.
- Build APIs and AI applications using Python, Flask and FastAPI.
- Implement MLOps practices and CI/CD pipelines for ML solutions.
- Work with SQL, NoSQL and vector databases.
- Optimize Python applications using memory profiling tools such as Scalene or Filprofiler.
- Integrate OpenAI GPT models with Python applications for processing PDF/PPTX documents using tools such as PyMuPDF and python-pptx.