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Python Developer - LLM / Generative AI

Python Developer - LLM / Generative AI

Sureminds Solutions Pvt. Ltd.Hyderabad
4 days ago
Job description

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)

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