Python Developer

19 hours ago

Bengaluru, Karnataka, India Sureminds Solutions Pvt. Ltd. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 :

Education :

- 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.

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