Job Description

0-1 Year


On Site


Jaipur (Rajasthan), IND

Key Responsibilities:

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 that leverage large language models (LLMs) and other advanced AI techniques. Work with data preprocessing, data augmentation, and model evaluation techniques. Assist in AI model deployment and integration with applications.

Required AI Skills and Knowledge:

Basic understanding of AI concepts

such as supervised and unsupervised learning, classification, clustering, and neural networks.

Knowledge of AI libraries and frameworks

: + TensorFlow, PyTorch, or Keras for deep learning.
+ spaCy for natural language processing.
+ scikit-learn for traditional machine learning.
Familiarity with

Large Language Models (LLMs)

, such as GPT, and their applications in natural language understanding and generation. Understanding of

data preprocessing techniques

, feature engineering, and model evaluation metrics. Awareness of

AI ethics

and responsible AI development practices.

Preferred Skills (Not Mandatory):

Exposure to cloud-based AI development platforms (e.g., Google Cloud AI, AWS AI, or Azure AI). Familiarity with optimization techniques for AI model performance. Understanding of deep learning architectures like CNNs, RNNs, and transformers.

Required Programming Skills:

Python

proficiency is essential. Familiarity with

Python libraries

like NumPy, pandas, and matplotlib for data manipulation and visualization. Experience with

version control systems

like Git.

Training and Development Opportunities:

In-depth training on AI development, including machine learning and natural language processing. Exposure to

Large Language Models (LLMs)

and their use cases. Hands-on experience with AI frameworks and tools like TensorFlow, PyTorch, and spaCy. Guidance on best practices for deploying and scaling AI solutions in real-world environments

Why Join Amplework's Team!

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Be part of a passionate and collaborative team. Work on Cutting edge projects. Make a real impact. Enjoy competitive benefits. * Great Working Environment.