Role : Python Gen Ai & LLM
Experience Range : 4 to 10 years
Notice period : Immediate
Location : Bangalore / Noida / Gurugram / Pune
Mode : Hybrid
We are seeking a skilled Python Developer with hands-on experience in building and deploying GenAI and LLM-based solutions.
The ideal candidate will have strong expertise in modern AI frameworks, cloud services, and orchestration tools to develop scalable, production-grade AI applications .
Key Responsibilities :
- Develop and Deploy AI Models : Design, develop, fine-tune, and deploy Generative AI models using state-of-the-art techniques such as GPT, VAE, GANs, and LLMs.
- Build RAG Pipelines : Design and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced model performance and relevant information retrieval.
- Integrate AI Solutions : Build Python-based applications and APIs (using frameworks like FastAPI or Django) to integrate AI models into business solutions and existing enterprise systems.
- Manage Data : Design and maintain data pipelines for training and inference, including data preprocessing and feature engineering.
- Optimize and Scale : Optimize AI algorithms for performance, scalability, and efficiency in cloud environments (AWS, Azure, GCP).
- Collaborate and Innovate : Work within cross-functional teams (data scientists, software engineers, product managers) using agile methodologies to define project requirements, research new techniques, and deliver robust solutions.
- Ensure Quality : Conduct thorough testing, debugging, and documentation of models and processes to ensure reliability and performance.
Required Qualifications and Skills :
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.Python Proficiency : Strong programming skills in Python, with experience in relevant libraries (e.g., NumPy, Pandas).AI / ML Expertise : Strong background in machine learning and deep learning algorithms.GenAI Frameworks : Hands-on experience with ML / LLM / GenAI libraries and frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, or OpenAI APIs.NLP Knowledge : Experience with Natural Language Processing (NLP) techniques for text generation, summarization, and conversational AI.Cloud & DevOps : Familiarity with cloud computing platforms (AWS, Azure, GCP), containerization tools (Docker, Kubernetes), and CI / CD pipelines.Problem-Solving : Excellent analytical and problem-solving skills with an ability to work in a fast-paced environment.(ref : hirist.tech)