Role Overview:This role focuses on the design, development, fine-tuning, and deployment of LLM-based applications using Python. The successful candidate will be instrumental in implementing and optimizing deep learning models for Natural Language Processing (NLP) use cases and deploying AI solutions on cloud platforms like Azure and Google Cloud Platform (GCP).
Key Responsibilities:- Design, build, fine-tune, and deploy LLM-based applications using Python.
- Implement and optimize deep learning models for NLP use cases, including text classification, sentiment analysis, and text summarization.
- Develop solutions using prompt engineering techniques.
- Utilize vector databases to store and retrieve model embeddings and AI-generated data.
- Work with deep learning frameworks and libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Apply knowledge of deep learning architectures and techniques.
- Use orchestration frameworks such as LangChain or similar tools.
- Build AI-powered applications using Streamlit, FastAPI, and Flask.
- Deploy and scale machine learning models on Azure and Google Cloud Platform (GCP).
- Write efficient, well-documented, and maintainable Python code.
- Support CI/CD pipelines for ML and GenAI deployments.
- Apply knowledge of agentic architectures and multi-agent patterns such as AutoGen or similar frameworks.
- Collaborate with cross-functional teams to design scalable AI systems.
Required Skills:- Strong proficiency in Python.
- Experience in deep learning, Natural Language Processing (NLP), and Generative AI.
- Understanding of large language models and their real-world applications.
- Experience managing AI model lifecycle from development to production.
- Experience deploying AI solutions on Azure or GCP.
- Knowledge of healthcare domain workflows and data.
- Familiarity with agentic and multi-agent AI design patterns.
- GCP.
- CI/CD.
Qualifications:- 6-8 years of overall experience in software development, data analytics, or data science.
- 2+ years of hands-on experience with deep learning, NLP, and Generative AI.
