Python AIML Developer

Immediate Joiners are preferred

Role & responsibilities

• Develop and deploy machine learning models using TensorFlow and/or PyTorch,focusing on efficient and scalable solutions.
• Implement machine learning models and preprocessing tasks with Scikit-learn to

enhance performance.

• Apply supervised and unsupervised learning algorithms (e.g., SVM, Decision Trees)

across various applications.

• Design, implement, and fine-tune deep learning architectures (e.g., CNNs, RNNs) to

tackle complex challenges.

• Research and experiment with reinforcement learning techniques to expand

capabilities.

• Contribute to the design and development of AI systems leveraging large language

models (LLMs) and advanced AI techniques.

Preferred candidate profile

• Bachelors or Masters degree in Engineering, Computer Science, or a related field.
• Minimum 3 years of Python programming experience.
• Hands-on experience with TensorFlow or PyTorch.
• Proficiency in Scikit-learn and deep learning methodologies.
• Experience with Keras, Pandas, Numpy, and Large Language Models (LLMs), such

as GPT, and their applications in natural language processing and generation.

• Knowledge of data preprocessing techniques, feature engineering, and model

evaluation metrics.

• Familiarity with version control systems, especially Git.