Gen AI Developer

Must Have Technical/Functional Skills

• Experience in executing projects in Agile Framework

• Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).

• Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.

• Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing.

• Proficiency in RAG (Retrieval-Augmented Generation) techniques.

• Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning.

• Familiarity with evaluation metrics for RAG systems.

• Knowledge of transformer architectures and training techniques.

• Awareness of ethical considerations and bias mitigation strategies.

• Understanding of autonomous decision-making algorithms.

• Proficiency in programming language Python.

• Strong analytical and problem-solving skills. 

 

Roles & Responsibilities

Qualifications:

• Bachelor’s or master’s degree in computer science, data science or equivalent

• Develop and implement generative AI models using frameworks like TensorFlow and PyTorch.

• Build and optimize RAG (Retrieval-Augmented Generation) pipelines.

• Work on NLP tasks such as text classification, summarization, and conversational AI.

• Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas).

• Fine-tune and optimize transformer-based models and LLMs for specific use cases.

• Evaluate model performance using RAG and NLP evaluation metrics.

• Develop and integrate machine learning models into applications.

• Apply autonomous decision-making logic in AI-driven workflows where needed.

 

Generic Managerial Skills, If any

• Good to have Manufacturing domain understanding

• Excellent communication

• Team collaboration

• Documentation and knowledge sharing