Solis Technology - Python Developer - Artificial Intelligence/Machine Learning (2-3 yrs)

Salary : 10 to 20 LPA

Responsibilities :

- Design, develop, and deploy AI/ML models, specializing in Generative AI techniques, with a strong focus on Large Language Models (LLMs) and multimodal applications.

- Develop and implement chatbot solutions and other applications leveraging LLMs for tasks like text generation, summarization, question answering, code generation, and multimodal interactions.

- Work with large text and image datasets, perform data cleaning, preprocessing, and fine-tuning of LLMs and image processing models.

- Develop and implement image processing pipelines for tasks such as image classification, object detection, image segmentation, and image generation.

- Implement text extraction techniques (OCR) to convert images and documents into machine-readable text.

- Develop and maintain robust and scalable Python code for AI/ML, LLM, image processing, and text extraction applications.

- Contribute to the design and development of new AI-powered products, with a focus on multimodal features.

- Implement and manage databases (SQL and/or NoSQL) for data storage and retrieval.

- Deploy and manage applications on cloud platforms (e.g., AWS, Google Cloud, Azure).

- Contribute to the full product development lifecycle from conception to deployment.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

- 3+ years of professional experience in Python development.

- Hands-on experience in developing and deploying AI/ML models, with significant experience working with LLMs, image processing, and text extraction.

- Deep understanding of Large Language Model architectures (e.g., Transformers, BERT, GPT).

- Proficiency in Python libraries such as TensorFlow, PyTorch, Transformers (Hugging Face), LangChain, OpenCV, Pillow, Tesseract (for OCR), and other relevant libraries.

- Demonstrated experience in fine-tuning and prompting LLMs for specific tasks.

- Experience in developing and deploying chatbot solutions and other LLM-driven applications.

- Experience with database management (SQL and/or NoSQL).

- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).

- Experience with MLOps practices and tools.

- Experience with API development and integration.

- Experience with specific LLMs (e.g., GPT-3, GPT-4, Llama, PaLM).

- Experience with multimodal AI models and techniques.