Location: Jaipur, Rajasthan, India
Experience: 0–1 Year
Type: Full-Time (On-Site)
Develop and implement machine learning models using Python-based frameworks.
Collaborate with the AI team to build, train, and optimize models for various applications.
Utilize AI libraries such as TensorFlow, PyTorch, and spaCy to develop solutions.
Contribute to the design and development of AI systems using Large Language Models (LLMs).
Work with data preprocessing, augmentation, and model evaluation techniques.
Assist in deploying AI models and integrating them into applications.
Basic understanding of AI concepts: supervised/unsupervised learning, classification, clustering, and neural networks.
Knowledge of AI frameworks:
Deep Learning: TensorFlow, PyTorch, KerasFamiliarity with Large Language Models (LLMs) like GPT and their real-world use cases.
Understanding of:
Data preprocessing and feature engineeringExposure to cloud-based AI platforms (e.g., Google Cloud AI, AWS AI, or Azure AI).
Familiarity with model performance optimization techniques.
Understanding of deep learning architectures like CNNs, RNNs, and Transformers.
Proficiency in Python.
Experience with Python libraries: NumPy, pandas, matplotlib.
Experience using version control systems like Git.
In-depth training in AI development (machine learning and natural language processing).
Hands-on exposure to Large Language Models (LLMs).
Practical experience with AI tools such as TensorFlow, PyTorch, and spaCy.
Mentorship on best practices for deploying and scaling AI solutions in real-world environments.
